{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import HAWCreproject as HRP\n",
    "from astropy.io import fits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Converting from ICRS to Gal coordinates for Fil5ChopA\n"
     ]
    }
   ],
   "source": [
    "# Reprojecting a bone from ICRS to galactic coordinates\n",
    "\n",
    "# List of valid source names\n",
    "NameList = ['Fil1', 'Fil2', 'Fil4', 'Fil5', 'Fil8', 'Fil10', 'G24', 'G47', 'G49', 'Snake', 'Fil5Chop', 'Fil5ChopA']\n",
    "# Choosing the bone to convert\n",
    "SourceName = NameList[11] # Change index from 0 to 11\n",
    "# Folder information \n",
    "RefFolder = 'Original/'\n",
    "GalFolder = 'Converted_Gal/'\n",
    "ICRSFolder = 'Converted_ICRS/'\n",
    "# Reference FITS file name to convert\n",
    "filename = RefFolder+SourceName + '_RA_Original.fits'\n",
    "print('Converting from ICRS to Gal coordinates for '+SourceName)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: FITSFixedWarning: 'datfix' made the change 'Set MJD-OBS to 58311.389703 from DATE-OBS'. [astropy.wcs.wcs]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filename: (No file associated with this HDUList)\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  STOKES I      1 PrimaryHDU     600   (308, 308)   float64   \n",
      "  1  ERROR I       1 ImageHDU        21   (308, 308)   float64   \n",
      "  2  STOKES Q      1 ImageHDU        21   (308, 308)   float64   \n",
      "  3  ERROR Q       1 ImageHDU        21   (308, 308)   float64   \n",
      "  4  STOKES U      1 ImageHDU        21   (308, 308)   float64   \n",
      "  5  ERROR U       1 ImageHDU        21   (308, 308)   float64   \n",
      "  6  IMAGE MASK    1 ImageHDU        35   (308, 308)   float64   \n",
      "  7  PERCENT POL    1 ImageHDU        21   (308, 308)   float64   \n",
      "  8  DEBIASED PERCENT POL    1 ImageHDU        21   (308, 308)   float64   \n",
      "  9  ERROR PERCENT POL    1 ImageHDU        21   (308, 308)   float64   \n",
      " 10  POL ANGLE     1 ImageHDU        21   (308, 308)   float64   \n",
      " 11  ROTATED POL ANGLE    1 ImageHDU        21   (308, 308)   float64   \n",
      " 12  ERROR POL ANGLE    1 ImageHDU        21   (308, 308)   float64   \n",
      " 13  POL FLUX      1 ImageHDU        21   (308, 308)   float64   \n",
      " 14  ERROR POL FLUX    1 ImageHDU        21   (308, 308)   float64   \n",
      " 15  DEBIASED POL FLUX    1 ImageHDU        21   (308, 308)   float64   \n",
      " 16  MERGED DATA    1 BinTableHDU    269   13R x 66C   [1J, 1E, 1E, 1E, 1E, 1E, 1E, 1E, 1E, 1J, 1J, 1E, 1K, 1K, 1J, 1E, 1E, 1J, 1E, 1E, 1E, 1E, 1E, 1E, 1B, 1E, 1E, 1E, 1E, 1E, 1E, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1J, 1D, 1J, 1D, 1D, 1D, 1J, 1J, 1J, 2624D, 2624D, 1E, 1J, 2624D, 2624D, 2624E, 2624E, D, D, 75A]   \n",
      " 17  POL DATA      1 BinTableHDU     34   13924R x 10C   [J, J, D, D, D, D, D, D, D, D]   \n",
      "None\n"
     ]
    }
   ],
   "source": [
    "# Converting the reference FITS file from ICRS to Galactic coordinates\n",
    "NewGalFile = HRP.ICRStoGal(filename,SourceName,GalFolder=GalFolder)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: FITSFixedWarning: 'datfix' made the change 'Set MJD-OBS to 58311.389703 from DATE-OBS'. [astropy.wcs.wcs]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Auto-setting vmin to -9.455e+01 [aplpy.core]\n",
      "INFO: Auto-setting vmax to  1.062e+03 [aplpy.core]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: FITSFixedWarning: 'datfix' made the change 'Set MJD-OBS to 58311.389703 from DATE-OBS'. [astropy.wcs.wcs]\n"
     ]
    },
    {
     "data": {
      "image/png": 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f/ciMHz/erFixwrz33nvm6KOPNscee6yvva2tzcyYMcPMnz/frFu3zpSVlZlRo0aZ66+/3opDGpRWr15tCgoKzGGHHWauuOIK33KuXXLbs2ePmThxojnvvPPMqlWrzOeff25eeeUV8+mnn/rWuf32283QoUPNCy+8YN5//31TUlJiJk2aZBobG33rnHzyyebwww83//nPf8xbb71lJk+ebM4++2wrDmlQueWWW8zIkSPNiy++aLZs2WKeffZZk5uba37/+9/71uH6JY+ysjLz85//3Pztb38zkszzzz8f0B6Pa7Vv3z7jdDrNOeecYzZu3Gj+7//+z2RlZZk//elPfXWYPiTk6OKoo44yl156qe9ze3u7GTdunLntttssjAqh1NTUGEmmoqLCGGNMbW2tSUtLM88++6xvnc2bNxtJZuXKlcaYjh9ydrvdVFdX+9a5//77jcPhMM3NzX17AIPQ/v37zZQpU8xrr71mioqKfAk51y75XXvtteb4448P2+7xeExeXp75zW9+41tWW1trMjIyzP/93/8ZY4z54IMPjCTz7rvv+tb55z//aWw2m/niiy8SFzzMqaeeas4///yAZd/+9rfNOeecY4zh+iWz4IQ8Xtfqj3/8oxk+fHjAz89rr73WTJ06NcFH1BVDVhCgpaVFa9as0fz5833L7Ha75s+fr5UrV1oYGULZt2+fJGnEiBGSpDVr1qi1tTXg+h1yyCGaMGGC7/qtXLlShYWFcjqdvnUWLFggt9utTZs29WH0g9Oll16qU089NeAaSVy7/qC0tFSzZ8/Wd77zHY0ZM0ZHHHGEHnroIV/7li1bVF1dHXANhw4dqjlz5gRcw2HDhmn27Nm+debPny+73a5Vq1b13cEMQscee6xWrFihjz/+WJL0/vvv6+2339Ypp5wiievXn8TrWq1cuVInnHCC0tPTfessWLBAH330kfbu3dtHR9MhtU/3hqS3a9cutbe3B/zClySn06kPP/zQoqgQisfj0ZVXXqnjjjtOM2bMkCRVV1crPT1dw4YNC1jX6XSqurrat06o6+ttQ+I89dRTWrt2rd59990ubVy75Pf555/r/vvv19KlS/Wzn/1M7777ri6//HKlp6dr0aJFvmsQ6hr5X8MxY8YEtKempmrEiBFcwwS77rrr5Ha7dcghhyglJUXt7e265ZZbdM4550gS168fide1qq6u1qRJk7r04W0bPnx4QuIPhYQc6KcuvfRSbdy4UW+//bbVoSAK27dv1xVXXKHXXntNmZmZVoeDHvB4PJo9e7ZuvfVWSdIRRxyhjRs36oEHHtCiRYssjg6RPPPMM3riiSf05JNP6tBDD9X69et15ZVXaty4cVw/WI4hKwgwatQopaSkdJnZweVyKS8vz6KoEGzJkiV68cUX9cYbbyg/P9+3PC8vTy0tLaqtrQ1Y3//65eXlhby+3jYkxpo1a1RTU6MjjzxSqampSk1NVUVFhe655x6lpqbK6XRy7ZLc2LFjNX369IBl06ZN07Zt2yR9dQ26+/mZl5enmpqagPa2tjbt2bOHa5hgV199ta677jqdddZZKiws1Pe//31dddVVuu222yRx/fqTeF2rZPqZSkKOAOnp6Zo1a5ZWrFjhW+bxeLRixQodc8wxFkYGqWOapyVLluj555/X66+/3uVPbbNmzVJaWlrA9fvoo4+0bds23/U75phjVFlZGfCD6rXXXpPD4eiSbCB+5s2bp8rKSq1fv973mj17ts455xzfe65dcjvuuOO6TDP68ccfa+LEiZKkSZMmKS8vL+Aaut1urVq1KuAa1tbWas2aNb51Xn/9dXk8Hs2ZM6cPjmLwamhokN0emPakpKTI4/FI4vr1J/G6Vsccc4zefPNNtba2+tZ57bXXNHXq1D4driKJaQ/R1VNPPWUyMjLMY489Zj744ANz0UUXmWHDhgXM7ABrXHLJJWbo0KGmvLzc7Nixw/dqaGjwrfOjH/3ITJgwwbz++uvmvffeM8ccc4w55phjfO3eqfNOOukks379evPyyy+b0aNHM3WeBfxnWTGGa5fsVq9ebVJTU80tt9xiPvnkE/PEE0+Y7Oxs85e//MW3zu23326GDRtm/v73v5sNGzaYhQsXhpyK7YgjjjCrVq0yb7/9tpkyZQrT5vWBRYsWmQMOOMA37eHf/vY3M2rUKHPNNdf41uH6JY/9+/ebdevWmXXr1hlJ5q677jLr1q0z//3vf40x8blWtbW1xul0mu9///tm48aN5qmnnjLZ2dlMe4jkce+995oJEyaY9PR0c9RRR5n//Oc/VocE0zH1U6jXo48+6lunsbHR/PjHPzbDhw832dnZ5lvf+pbZsWNHQD9bt241p5xyisnKyjKjRo0yP/nJT0xra2sfHw2CE3KuXfL7xz/+YWbMmGEyMjLMIYccYh588MGAdo/HY2644QbjdDpNRkaGmTdvnvnoo48C1tm9e7c5++yzTW5urnE4HGbx4sVm//79fXkYg5Lb7TZXXHGFmTBhgsnMzDQHHnig+fnPfx4w5R3XL3m88cYbIX/fLVq0yBgTv2v1/vvvm+OPP95kZGSYAw44wNx+++19dYgBbMb4PaIKAAAAQJ9iDDkAAABgIRJyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIQcAAAAsREKOsJqbm/XLX/5Szc3NVoeCHuD69W9cv/6N69e/cf36t/54/ZiHHGG53W4NHTpU+/btk8PhsDocxIjr179x/fo3rl//xvXr3/rj9aNCDgAAAFiIhBwAAACwUKrVAQwkTU1NamlpsTqMuHG73QFf0b9w/fo3rl//xvXr37h+/VuyXb/09HRlZmZ2uw5jyOOkqalJkyZNUnV1tdWhAAAAIEnk5eVpy5Yt3SblJORx4r2BYPv27QE3EIQ6vcm0LBliiLQs1mMJt213/UQbQ7zX620/oYTaNtplkWJNVN+JOK+xxhqqT4/H0+P+IsUVbd89icG7TaTzFWq9nvTdm/Wi3W+8zk1fLuvJNr05Jn/xjiuRy0LFl8hrG+p7M9rv1970E+qY4vXvO9K/5d7EGqq/3vybT6Z/y9HutyfHHCzSDaYMWYkzh8NBQh7nZdH+som0bTz6ifd6iewnXr8YE/lLN5liDdVnvJPmRPbdk1+MyZCQ9+Q69eUv8d4myH25v0TG1dfLkiEhT2SSG+31DtWfzWaLallvtvG2hYsrHj/jI23fk38zsfI/znhvH+rYusNNnQAAAICFSMgBAAAAC5GQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCTkAAABgIRJyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCTkAAABgIRJyAAAAwEKpVgcw0Ljd7oDPxpgu6yTTsmSIIdKyWI8l3Lbd9RNtDPFer7f9hBJq22iXRYo1UX0n4rzGGmuoPj0eT4/7ixRXtH33JAbvNpHOV6j1etJ3b9aLdr/xOjd9uawn2/TmmPzFO65ELgsVXyKvbajvzWi/X3vTT6hjite/70j/lnsTa6j+evNvfrD8W44VCXmcpKenKy8vT+PHj7c6FAAAACSJvLw8paend7uOzfQ0lUcXTU1NamlpsTqMuHG73Ro/fry2b98uh8NhdTiIEdevf+P69W9cv/6N69e/Jdv1S09PV2ZmZrfrUCGPo8zMzIgnvD9yOBxJ8Q2NnuH69W9cv/6N69e/cf36t/50/bipEwAAALAQCTkAAABgIRJyhJWRkaGbbrpJGRkZVoeCHuD69W9cv/6N69e/cf36t/54/bipEwAAALAQFXIAAADAQiTkAAAAgIVIyAEAAAALkZADAAAAFiIhBwAAACxEQg4AAABYiIQcAAAAsBAJOQAAAGAhEnIAAADAQiTkAAAAgIVIyAEAAAALkZADAAAAFiIhBwAAACxEQo4Abrdbc+fOldvttjoUhMD1SX5co+TG9UluXJ/kxzVKDBJyBHC73aqoqOAfWpLi+iQ/rlFy4/okN65P8uMaJQYJeR9JxP8o+8v/UvvLsce7T67P4OwzEfrD92Z/6TMR+sux94fvo0ToD+eyP/WZCP3hezPR55KEvI8k4n+U/eV/qf3l2OPdJ9dncPaZCP3he7O/9JkI/eXY+8P3USL0h3PZn/pMhP7wvZnoc5makF4HoV27dumVV15RQUGBsrKyurS7XC5JUmVlpWpqauKyT/pM7j77Q4z0OTj77A8x0mfy99kfYqTPwdlnMsXY2NiorVu3asGCBRo1alTY9WzGGNPrKKEnnnhC5557rtVhAAAAIMn85S9/0TnnnBO2nQp5nBQUFEjqOOHTpk2zNhgAAABYbvPmzTr33HN9eWI4JORx4h2mMm3aNB155JEWRwMAAIBkEWo4sz9u6gQAAAAsREIOAAAAWIiEvJfcbreqqqp8d98CAAAA/lwul6qqqsJOm8gY8l4qKSlRRUWF1WEAAAAgSRUXF0uSioqKVF5e3qWdhLyXSktL5Xa7VVlZ6TvZAAAAgFdZWZkKCwvlcDhCtpOQ95LD4ZDD4YjbxPMAAAAYWJxOp/Lz88O2M4YcAAAAsBAJOQAAAGAhEnIAAADAQiTkAAAAgIVIyAEAAAALkZADAAAAFiIhBwAAACxEQg4AAABYiIQcAAAAsBAJOQAAAGAhEnIAAADAQiTkAAAAgIVIyAEAAAALkZADAAAAFiIhBwAAACxEQg4AAABYiIS8l9xut6qqquRyuawOBQAAAEnI5XKpqqpKbrc7ZHtqH8cz4JSUlKiiosLqMAAAAJCkiouLJUlFRUUqLy/v0k5C3kulpaVyu92qrKz0nWwAAADAq6ysTIWFhXI4HCHbSch7yeFwyOFwqKamxupQAAAAkIScTqfy8/PDtjOGHAAAALAQCTkAAABgIRJyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCTkAAABgIRJyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCXkvud1uVVVVyeVyWR0KAAAAkpDL5VJVVZXcbnfI9tQ+jmfAKSkpUUVFhdVhAAAAIEkVFxdLkoqKilReXt6lnYS8l0pLS+V2u1VZWek72QAAAIBXWVmZCgsL5XA4QraTkPeSw+GQw+FQTU2N1aEAAAAgCTmdTuXn54dtZww5AAAAYCEScgAAAMBCJOQAAACAhUjIAQAAAAuRkAMAAAAWIiEHAAAALERCDgAAAFiIhBwAAACwEAk5AAAAYCEScgAAAMBCJOQAAACAhUjIAQAAAAuRkAMAAAAWSsqE3BijG2+8UWPHjlVWVpbmz5+vTz75JGCdlStXaubMmSooKNDDDz8c0LZnzx6dc845cjgcGjZsmC644ALV1dX52puamnTeeeepsLBQqampOv3007vE8Nhjj2nu3LmJODwAAADAJykT8jvuuEP33HOPHnjgAa1atUo5OTlasGCBmpqafOtccMEFuuGGG/Tkk0/qtttu0/bt231t55xzjjZt2qTXXntNL774ot58801ddNFFvvb29nZlZWXp8ssv1/z58/v02AAAAAB/qVYHEMwYo7vvvlu/+MUvtHDhQknS8uXL5XQ69cILL+iss86SJNXX1+vII4/UmDFjNHz4cO3fv1+StHnzZr388st69913NXv2bEnSvffeq+LiYv32t7/VuHHjlJOTo/vvv1+S9O9//1u1tbV9f6AAAACAkrBCvmXLFlVXVwdUrocOHao5c+Zo5cqVvmU33nijpk2bpqFDh+roo4/W9OnTJXUMZRk2bJgvGZek+fPny263a9WqVX13IAAAAEAUkq5CXl1dLUlyOp0By51Op69N6hiyctZZZ6mlpUXDhw8P2H7MmDEB26ampmrEiBEB20dy3nnn6bzzzgvb7na75Xa7fZ9dLlfUfQMAAGDwcLlcqqqq8n12OBxyOBy+z5Yn5E888YQuvvhi3+eXXnop6m1zcnKUk5OTiLAiKikpUUVFhSX7BgAAQP9RXFwc8LmoqEjl5eW+z5Yn5CUlJZozZ47vc3Nzs6SO/0mMHTvWt9zlcmnmzJkR+8vLy1NNTU3Asra2Nu3Zs0d5eXnxCVpSaWlpQIW8srKyy8kGAAAAysrKVFhY6PvsXx2XkiAhHzJkiIYMGeL7bIxRXl6eVqxY4UvA3W63Vq1apUsuuSRif8ccc4xqa2u1Zs0azZo1S5L0+uuvy+PxBCT+vRX8p4bg/wQAAAAAUsfQ6/z8/LDtlifkwWw2m6688kr9+te/1pQpUzRp0iTdcMMNGjduXMj5woNNmzZNJ598si688EI98MADam1t1ZIlS3TWWWdp3LhxvvU++OADtbS0aM+ePdq/f7/Wr18vSVFV4QEAAIB4SbqEXJKuueYa1dfX66KLLlJtba2OP/54vfzyy8rMzIxq+yeeeEJLlizRvHnzZLfbdcYZZ+iee+4JWKe4uFj//e9/fZ+POOIISR0VegAAAKCvJGVCbrPZ9Ktf/Uq/+tWverT9iBEj9OSTT3a7ztatW3vUNwAAABBPSTcPOQAAADCYkJADAAAAFiIhBwAAACxEQg4AAABYiIQcAAAAsBAJOQAAAGAhEnIAAADAQiTkAAAAgIVIyAEAAAALkZADAAAAFiIhBwAAACxEQg4AAABYiIQcAAAAsBAJOQAAAGAhEvJecrvdqqqqksvlsjoUAAAAJCGXy6Wqqiq53e6Q7al9HM+AU1JSooqKCqvDAAAAQJIqLi6WJBUVFam8vLxLOwl5L5WWlsrtdquystJ3sgEAAACvsrIyFRYWyuFwhGwnIe8lh8Mhh8Ohmpoaq0MBAABAEnI6ncrPzw/bzhhyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCTkAAABgIRJyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCTkAAABgIRJyAAAAwEIk5L3kdrtVVVUll8tldSgAAABIQi6XS1VVVXK73SHbU/s4ngGnpKREFRUVVocBAACAJFVcXCxJKioqUnl5eZd2EvJeKi0tldvtVmVlpe9kAwAAAF5lZWUqLCyUw+EI2U5C3ksOh0MOh0M1NTVWhwIAAIAk5HQ6lZ+fH7adMeQAAACAhUjIAQAAAAuRkAMAAAAWIiEHAAAALERCDgAAAFiIhBwAAACwEAk5AAAAYCEScgAAAMBCJOQAAACAhUjIAQAAAAuRkAMAAAAWIiEHAAAALERCDgAAAFiIhBwAAACwEAk5AAAAYCEScgAAAMBCJOQAAACAhUjIe8ntdquqqkoul8vqUAAAAJCEXC6Xqqqq5Ha7Q7an9nE8A05JSYkqKiqsDgMAAABJqri4WJJUVFSk8vLyLu0k5L1UWloqt9utyspK38kGAAAAvMrKylRYWCiHwxGynYS8lxwOhxwOh2pqaqwOBQAAAEnI6XQqPz8/bDtjyAEAAAALkZADAAAAFiIhBwAAACxEQg4AAABYiIQcAAAAsBAJOQAAAGAhEnIAAADAQiTkAAAAgIVIyAEAAAALkZADAAAAFiIhBwAAACxEQg4AAABYiIQcAAAAsBAJOQAAAGAhEnIAAADAQiTkAAAAgIVIyAEAAAALkZD3ktvtVlVVlVwul9WhAAAAIAm5XC5VVVXJ7XaHbE/t43gGnJKSElVUVFgdBgAAAJJUcXGxJKmoqEjl5eVd2knIe6m0tFRut1uVlZW+kw0AAAB4lZWVqbCwUA6HI2Q7CXkvORwOORwO1dTUWB0KAAAAkpDT6VR+fn7YdsaQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCTkAAABgIRJyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALDQgE7I77vvPhUUFCgzM1Nz5szR6tWrJUl79uzRZZddpqlTpyorK0sTJkzQ5Zdfrn379vm23bp1q2w2m1WhAwAAYJAYsAn5008/raVLl+qmm27S2rVrdfjhh2vBggWqqanRl19+qS+//FK//e1vtXHjRj322GN6+eWXdcEFF1gdNgAAAAaZVKsDSJS77rpLF154oRYvXixJeuCBB/TSSy/pkUce0XXXXafnnnvOt+5BBx2kW265Reeee67a2tqUmjpgTwsAAACSzICskLe0tGjNmjWaP3++b5ndbtf8+fO1cuXKkNvs27dPDoeDZBwAAAB9akAm5Lt27VJ7e7ucTmfAcqfTqerq6pDrL1u2TBdddJFvWUFBgYwxCY8VAAAAg9ugLwe73W6deuqpmj59un75y1/GtJ3b7fZ9drlcCYgOAAAA/Z3L5VJVVZXvs8PhkMPh8H0ekAn5qFGjlJKS0iVJdrlcysvL833ev3+/Tj75ZA0ZMkTPP/+80tLSot5HSUmJKioq4hYzAAAABqbi4uKAz0VFRSovL/d9HpAJeXp6umbNmqUVK1bo9NNPlyR5PB6tWLFCS5YskdRR4V6wYIEyMjJUWlqqzMzMmPZRWloaUCGvrKzscrIBAACAsrIyFRYW+j77V8elAZqQS9LSpUu1aNEizZ49W0cddZTuvvtu1dfXa/HixXK73TrppJPU0NCgv/zlLwHDT0aPHq2UlJSI/Qf/qaGmpiZhxwIAAID+y+l0Kj8/P2z7gE3IzzzzTO3cuVM33nijqqurNXPmTL388styOp0qLy/XqlWrJEmTJ08O2G7Lli0qKCiwIGIAAAAMRgM2IZekJUuW+Iao+Js7dy4zqAAAACApDMhpDwEAAID+goQcAAAAsBAJOQAAAGAhEnIAAADAQiTkAAAAgIVIyAEAAAALkZADAAAAFiIhBwAAACxEQg4AAABYiIQcAAAAsBAJOQAAAGAhEnIAAADAQiTkAAAAgIVIyAEAAAALkZD3ktvtVlVVlVwul9WhAAAAIAm5XC5VVVXJ7XaHbE/t43gGnJKSElVUVFgdBgAAAJJUcXGxJKmoqEjl5eVd2knIe6m0tFRut1uVlZW+kw0AAAB4lZWVqbCwUA6HI2Q7CXkvORwOORwO1dTUWB0KAAAAkpDT6VR+fn7YdsaQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCTkAAABgIRJyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCTkAAABgIRJyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIe8lt9utqqoquVwuq0MBAABAEnK5XKqqqpLb7Q7ZntrH8Qw4JSUlqqiosDoMAAAAJKni4mJJUlFRkcrLy7u0k5D3UmlpqdxutyorK30nGwAAAPAqKytTYWGhHA5HyHYS8l5yOBxyOByqqamxOhQAAAAkIafTqfz8/LDtJOQAgEFn//79AZ9tNlvI9YwxvvdDhgxJaEwABi9u6gQAAAAsRIUcADAg1NbW+t4HV7wjffZWwrtbr66uLmBdKuYA4oUKOQAAAGAhKuQAgH7JvyIuhR8HLnWtgIeriPuPGQ/Xp3dZ8Dh0KuYAeooKOQAAAGAhKuQAgKS2b9++kMu7q4iHE22lPHj9UPsN3sY7xjw3NzfmuAAMblTIAQAAAAtRIQcAJAXvmOxI47hDVa1jFWulvLv9h6uUe1ExBxAJFXIAAADAQlTIAQCWivWpmbGM944kXKU8UiyxxBVcMfdfNycnJ/pgAQxYVMgBAAAAC1EhBwDEXaiqcDjRjhGPZc7wWKvl0cxLHqla3pNx6Iw3ByBRIQcAAAAsRYUcABCz4HHfwXoyR3jwtpGq3N2tF20fwbqrckc7vjyWSnkw5jIHBicq5AAAAICFSMgBAAAACzFkpZfcbrfcbrdcLpfVoQBAXEUalhJKb4aqhOsrHg8CilU0w06inYaxN0NXvBjCAvRvLpdLVVVVcjgccjgcXdpJyHuppKREFRUVVocBAACAJFVcXCxJKioqUnl5eZd2EvJeKi0tldvtVmVlpe9kA0B/4Ha7JcWnqh3PynhP9x3Pmzu9opn2MJGVci9u9gT6t7KyMhUWFoasjksk5L3m/dNDTU2N1aEAAAAgCTmdTuXn54dtJyEHgAHOWwnvrXhUwa0YDy7FZzx6pGkPo62Ud7cOgMGJWVYAAAAAC1EhBwA/wTOLBFc9vZ/DjQOUpH379gWsG9xXOIkeyx3cFu3+ehKXFZVw/zj7Yv/hKuLxGDMeTvDsK/4YXw70X1TIAQAAAAtRIQcwKHkr4dFWUoPX8x+XHWslvK/15XjlZDv2vmBFpRzAwEKFHAAAALAQFXIAg0qslfFwQm0frs++GDvend5WahMxv3ciRBNLIuOOZ0W8J33U19dLknJycnq9fwB9iwo5AAAAYCEq5AAGvOCZU6SeV0pjWb8vq8exzK7i1ZuKbiL+wuA10MZchzrP4c59PI7dWyn3omIOJD8q5AAAAICFqJADGLBCVcZ7KpnGSvvrL9XkWP+yYNu1S3K7ZQ480LI4eruP/nJtAFiPhBwAkDwaGpR1/vmy79ih9sMPV9M991gdEQAkHAk5gAHL6plAErH/RDxdM5EV3ZiPPTvb99a+ebPU2iqlpcU5quSViGvB7CtA8mMMOQAgqXhmzJAk2VpaZP/0U4ujAYDEIyEHMODU1dWprq7O99lms/lewcIt7wux7DvadXtzPMaYuMye4v/qifbOhFyS7Bs39iqe4LisFOq8JENcAKxHQg4ASCqewkLf+5QNGyyMBAD6Bgk5ACCpeCZNkukc75yycaNEBRnAAEdC3ktut1tVVVVyuVxWhwIMesFDVeKpN0NBrNq2p4KHncTyigu7XZ7p0yVJtj17ZKuu7vWxxLp+PI6tN+ckIecVgGVcLpeqqqrkdrtDtpOQ91JJSYnGjx+v4uJiq0MBgAHDfxx5SmWlhZEAQO8VFxdr/PjxKikpCdnOtIe9VFpaKrfbrcrKSpJyoB/o7VSE3W1v5TSLyf4QmljPSfuMGfJuYa+slPnGN+IflGJ/YJEUn3Md3FekvmOJM1wfDQ0NkqRsv6klAfSNsrIyFRYWyuFwhGwnIe8lh8Mhh8Ohmpoaq0MBgAGjfdo0yW6XPB7ZN22yOhwA6BWn06n8/Pyw7QxZAdDvJXLseCJFMz64v44h7vUY6OxseQ46SJJk//xzKU7XNx5js3s6Lj2atkROPdlfv5eAwYCEHACQlHzjyI1RyubN1gYDAAnEkBUAg0q4CqGV47/jIRGPXO/J/uMl/c9/lq2mRu2zZqn5sstkJkzodv3UN96Q/ZNPZNu9W83XXtsx3CVCXCnr1yu1okJKTVXrSSfJM2VKVLFl/Pa3Mk6n2g8+WO1z5viWRzr3/rFEu26y3xsAID5IyAEASSfthRekujqZ8eNlCgoirp/68stKWbVKktTyox/JDB8ecRv7J5907EdS+/TpUSXktn37lPbSSx3bzJypRr+EHAB6ioQcQL/VH8eNh5LI2TsSLVF/UTBpabJJUktLVPv0jBqlFO+HmhqZYcMi76S9/as+7faoKtj2//73q31OnNhtXLFcg3DXLR7Xk2o7kPwYQw4ASD7p6R1fQyTkoZhRo3zvbTt3RrWNzS8hV2p09anuEnIA6Ckq5ACQYPGoIsda5YzHPsNVa+MtVL8mPV02SbaWlqj265+Q23fvVnu49fxnHWlr++q93R52PX+2GBLy7q4ZVWsA/npUIa+trdWf//xnXX/99dqzZ48kae3atfriiy/iGhwAYJCKsULu8a+Q79oV3T78K+QpKeHX80OFHEAixFwh37Bhg+bPn6+hQ4dq69atuvDCCzVixAj97W9/07Zt27R8+fJExAkAPrGOHe+rmVOi3U9/qY7G87zF3Jc3IW9tlYyRujlXxhh5Ro70fbbt3NntvN8+bW0dfavrGPJQbDabUjoTcpOTI8/w4ZIxfXIdw41Pj2XmFgDJK+YK+dKlS3Xeeefpk08+UWZmpm95cXGx3nzzzbgGBwAYnIw3IZc6kvJI6/tXyHfvjm4nsVbIGxp849M9Eyd2+58EAIhFzBXyd999V3/605+6LD/ggANUXV0dl6AAIJT+NqtKpDnPu1u/v1c7e11d90vITVOTlJbW7b6Mw9FxY2Zra7cVcn+x3tRp++9/fRX1dr950Xszu0o8RfrLS3+dYx8YDGKukGdkZMjtdndZ/vHHH2v06NFxCQoAMLj5V8htUVTIZbP5xpHbezCG3ERRIU/Zts333hPhQUUAEIuYE/KSkhL96le/UmvnD0ibzaZt27bp2muv1RlnnBH3AAHAy2azBbwSuQ8r+kr0sSWSMSbg1eu+/IesNDeH3EfwvkznOHLb/v2+bbqNM8Q85N0dR8ANnQUFUR9zqPb+ep0BJEbMCfmdd96puro6jRkzRo2NjSoqKtLkyZM1ZMgQ3XLLLYmIscfuu+8+FRQUKDMzU3PmzNHq1at9bRdffLEOOuggZWVlafTo0Vq4cKE+/PBDX/vWrVv5YQkAVvEbohJVhVwKvLEziiq5LcYx5Ha/Cnk7FXIAcRTzGPKhQ4fqtdde09tvv60NGzaorq5ORx55pObPn5+I+Hrs6aef1tKlS/XAAw9ozpw5uvvuu7VgwQJ99NFHGjNmjGbNmqVzzjlHEyZM0J49e/TLX/5SJ510krZs2aKUKKe/AgBEqa1Nsts7XtHwVsiNif7hQJ3DJk1Ghuz794edi9ynvf2rGVyi+Llv86vcG6czqpgAIBo2M0Dv8pgzZ46+9rWv6Q9/+IMkyePxaPz48brssst03XXXdVl/w4YNOvzww/Xpp5/qoIMO0tatWzVp0qSo//S6du1azZo1S2vWrNGRRx4Z12MB0KG+vj7k8lh+jMX6Iy+q6fN6sG4osQ5vsVK0x5T68stKe/FFpXz8sRoefFCegoLI29fXK/fcc6XGRrXPmKGGO+6IbkaTffskm00mNzfi+qYz0c+96irZv/hCngMOUN3vf++7uTPs+W1rk+PUU2VGj1bbUUep6YorfE3B23g/h+or3LrxEKmv3NzcuO0LQPeizQ+jqpDfc889Ue/48ssvj3rdRGlpadGaNWt0/fXX+5bZ7XbNnz9fK1eu7LJ+fX29Hn30UU2aNEnjx4/vy1ABYECz1dYqZdMmSZL9gw98CXm3MjJk27evY47vpqaopxc0DkdswaWny75zp2x1dbLX1EQ308rOnbK1tcm2Y0f00ysCQARRJeS/+93vAj7v3LlTDQ0NGjZsmKSOJ3dmZ2drzJgxSZGQ79q1S+3t7XIG/UnR6XQGjBP/4x//qGuuuUb19fWaOnWqXnvtNaV3/jmyoPOGnXDcbnfAbDMulyvORwEgEUI9UKU/9B2sLx4uFI/jaD/kEN/7lM2b1XrKKZH3l5Iik5YmW0uL1NjYo7iiir25WbbOp023jx0r4/eQn3Dbp2zd6nvfPnFiyG2s/usFgOTjcrlUVVXl++xwOOTwKyJENZhvy5Ytvtctt9yimTNnavPmzdqzZ4/27NmjzZs368gjj9SyZcvifwQJdM4552jdunWqqKjQwQcfrO9+97tqamqKatuSkhKNHz/e9youLk5wtADQ/7RPmeIbN273K4hElJUlSbKFSMjjxe737AxPXl5U2wRMfchfVAFEqbi4OCBvLCkpCWiP+abOG264QX/96181depU37KpU6fqd7/7nf73f/9X55xzTu+j7qVRo0YpJSWlS9Xa5XIpz++H7tChQzV06FBNmTJFRx99tIYPH67nn39eZ599dsR9lJaWBlTIKysrScoBiyR71TuR8UX1AJxoxlMnav/Z2fJMmCD71q1K+fzzjof8ZGRE7jc7W7Z9+2RraOjV2Pzu1rF9+aXvvTchj9Sn/b//lXeN9miG3/QhKvNA8iorK1NhYaHvsyNoiF3M0x7u2LFDbW1tXZa3t7cnzbCN9PR0zZo1SytWrPAt83g8WrFihY455piQ23jniW0OM3dtMIfDofz8fN8reHgMAKBD+7RpHW88HqV88klU25jOCnmoISvxkuL3O8szdmx02/hXyPPz4x4TgIHJ6XQG5I29TsjnzZuniy++WGvXrvUtW7NmjS655JKkmvpw6dKleuihh/T4449r8+bNuuSSS1RfX6/Fixfr888/12233aY1a9Zo27Zteuedd/Sd73xHWVlZVLmBJFRfXx92hhWrJOIhPvF6sE53/UZ6+E1Pto/0aps6tWN6QWOUEsWwFWOMLyG3tbR0TJkYIo5oYu6O3b9CPm5cxLhkjO/hQB6nUyYzM2HXLFqxfB/yMCIgecU8ZOWRRx7RokWLNHv2bKV1Prihra1NCxYs0J///Oe4B9hTZ555pnbu3Kkbb7xR1dXVmjlzpl5++WU5nU59+eWXeuutt3T33Xdr7969cjqdOuGEE/TOO+9ozJgxVocOAAOKr0Kujhs7o2Gys33vbY2NMkOGxD0u+44dvvftUfyV07Z7t2wNDR3r82AgAHEUc0I+evRolZWV6eOPP/bNWHLIIYfo4IMPjntwvbVkyRItWbKky/Jx48aprKzMgogAJFJfznKSaKEetW5VDL09n55Jk2QyMmRrbg5ZIQ/Zf2amb6y2qa/vmFs8gljno/cl5Ckp8owa1VHF70aq/3CVOCfkzNACDG4xJ+ReBx98cFIm4QCAJJOSovaDD1ZqZaXsO3bIVlsr0zltbjhdKuTxjskY2TvHkLfn5UX1BFH/8ePtEyfGOyIAg1jMCfn555/fbfsjjzzS42AAwKsnY8b7W2U8lip4X1TMg/fR3fmM9Vy3T52q1MpKSR3TH7bNmdNtX76bOhV+6sOeXG9fJXrfvo5+jZEnLy+qvuz+c5BPmJAUf8UAMDDEnJDv3bs34HNra6s2btyo2tpanXjiiXELDAAwcAQ8ICgoIQ8lmoS8NwLGj/dkDnLGkAOIo5gT8ueff77LMo/Ho0suuUQHHXRQXIICgIEk2spzt3NmB1Vfu6zr8Ugej2ydN9snOq6o1zVG9i++kGpq1HrEEWorLFTbUUcFrBeqr7aCAqWNGyfPsGHytLZGVcFOXb1atpYWmdxctR1+uOR3zoK39+Tmqulb31Lqhg0ykmzbt3fMtNLN0JXmE09U+wEHKPWjj2T//POOhx75Da0J3pf/PQ0pq1dLY8bIU1AQEBcASD2Y9jBkJ3a7li5dqt/97nfx6A4AEAP7hx8qe8kSpf/f/1kdShdZf/iDHIsXK+vBB9V07rlq/sEPAqrl4bQefbTsX36p1A8+UNbTT0e3r0ceUc7NNyv3+usjruvJz1fDj34kz/DhynrxRQ2/4ALZ9uzpdpvm4mLVX3WVTHq6hvz0pxr2rW9JnbOudMsYZd5xh7IWL1b2977X8Z8nAPDT45s6g3322WchHxgEALFItrHj8ew7EU/EtO3Zo5zLLpPa25Xy+edq/cY3ZKIcghGu73CfexJ/u99fTlM2b1bbYYdFtV1KDx5rb6urk6SOGVnCzLgTfCwpVVUdn7OyZEaO7LZ/Y4zU2qqUzz7rGHs+bpyUnd2lz+C/Zti3b5dt9+6OYxk/XrLbw64b7WwrjFcHBpaYE/KlS5cGfDbGaMeOHXrppZe0aNGiuAUGAIjMjBihltNPV/pzz0ktLcq8/3413nyz1WH5tPlVw1M/+kjRPQu5Bw/tkWTr/M+cycmJbictLV/NtJKfH9VQkpTPP5ettVWSOh54FIWUNWt879uPOCK62AAMKjEn5OvWrQv4bLfbNXr0aN15550RZ2ABgHhIRKU5GfjHFksFtOkHP1DaihWy7d2r1DfflP2999Q+a1aP9x9NRTza8eeeCRNkMjNla2xUyubNUZ9/m/9Nl9E81t7j6TYhD3VMKTt2SB6PjKT2Aw4IeOJmqPNvs9mU+sknvs9tU6fKGBPxWqX4/d7syXXpLarpQPKLOSF/4403EhEHAKCncnPVdOGFyrrjDklS1r33qu6hh6QYbvBMGLtdbVOmKG3DBtl37pRt9+6IQ0OkzmS5U1RDVhoafA/2ieYhQtJXw1UkqS0/P6ptUj/66KttonkWh8ejlPXrO94PGSLP5MlR7QfA4BLzTZ0nnniiamtruyx3u91Mewigx+rr68OOH/dWLv0rmP1BuLiDl4c6rnDrhNum9aST1D59uiTJvm2b0kPMiBVtnOHi9Xg8YV/dxeg/tCNl8+aotrXv2NGRYBuj9s55wru7/na/7x2TmxvVMdm3b/d9bs/Pj+oaeRNyk5Ki9iiSa/snn8i2f3/HPo44IqoHECVaQ0ODGqK5GRVAn4n5J0N5eblaWlq6LG9qatJbb70Vl6AAADGy29V42WW+cdAZy5f7biS0WsA48g8/jGob7zzhJisr4lM9pa9u6JR6WCE/4IDIGzQ0+OYib580SUpPj7wPv+EqbUceGVVcAAafqIesbNiwwff+gw8+ULXfHfDt7e16+eWXdUA0P9AAAAnhmTpVLaeeqvQXX5StoUGZDz6oxiimAEy04Bs7I/J4ZO/8HeMZOzaqmy1tQRXyaPgn5J4ofn+lfvqpb1hMVMNVJKWuXet7zw2dAMKJOiGfOXOmbDabbDZbyKEpWVlZuvfee+MaHICBryfTHPYlW5jp8+IhHn0G34TYdP75SquokG3/fqW99pqav/lNtc+YEdX+I00R2N0Dgro7Fs+IEWofOVL23buV8tFHMu3t3Q7dsO/cKVvnNLrteXnydM7bHXwtAm5W7BwWIkmeEA/rCRWvNyH3jBolT2amL9n257+PgPHjnTd0donDX2urUjqLWWbkSJkkebpnfxr2BQwWUQ9Z2bJliz777DMZY7R69Wpt2bLF9/riiy/kdruZZQUALGaGDlXT4sW+z1n33JMUD6LxjiO3NTYqxW/sdij+Ux5G+1j7WIes2Nzur8Z2R/nX3YAZVqKokKd88IHU3DHRY/uRR/KETgBhRV0hnzhxoiT5KhXo4Ha75Xa75eqcyxZAcktkxTuSWKYV7GnfNptNzd/8ptJeekkpn30m+2efKfXtt9X69a+H3Sbc8uCf99097j7SsbROnar0d96RJKV8+KHa/KrFwdvad+yQd4l/Qt7tPurrfRVuT05O2HPs/ZwaNH480sN9JCnNe0NnRobaJkyIWNEKGD/OcBVgUHO5XKqqqpLD4ZDD4ejSHlVCXlpaqlNOOUVpaWkqLS3tdt2SkpKeRdpPlZSUqKKiwuowAOArdrsalyxRzm23qfFHP1Lr8cdbHZFa/WZaSd2ypdsHBPk/pTOqOcgl2f0r5FE8GMh//Hh7FFMe2urqZN+5U5LUNnmylJISOSb/Sj83dAKDWnFxsSSpqKhI5eXlXdptJooSjd1uV3V1tcaMGSN7N+P+bDab2tvbex5tP+StkFdWVqq4uFhr1qzRkfzgBSKKZex4MozfjuYhOdGOwY60vhoalLZmTciqdjBvJde+bZvs1dVqO+qorxpbW6OaizzauEJVyCNV+1M//1xZr76qhpNOUmpVlVoPPlgep1M2v98lXR41X1+v9H//WzlPPqnWAw9U84IFajn6aN96oarXdpdLubffLpvbrbYpU1R/3XXdH2Nzs1L++18NXbZM7QccoOavfU0Np5/epV//fdmampT1z38q69VX1TZ5spoXLFDbzJlK6UzOvb8ffdfEbpdt1y6lfPCB2k44IezDhkKJ9DCfWB72E27dnGifaAqgx9auXatZs2aprKxMhYWFvauQ+//ZkiErgbwntqamxupQAAwA6eXlynrgAdn37JH73nvVHunx7B6Psu+5R+n//KeMw6F9jz8ueW9qtPjBQJmvvqqhv/+9JMlkZ6vuBz+IajuTmyuTlSV7TY0yamrUNn26dPTR3W7jcTqVUl0t+549sjc1KeJ/99LTZYYNU8rOnUrZubPjRtAQCXmArCyZ9HSlbNumlG3b1DZzptoiHcuoUWo74YRI0QAY4JxOp/K7+WtczPOQL1++XM3NXf/Y2NLSouXLl8faHQBE5J3hqb+L5kFBtt27Zd+9WzJG2Q88IE97e7cP4vFI0r59HY+Or61Vxl//GvVDhaJ9IFAsL/8Ym2bNkrHbZSRlvvaaPG1t3T5cyP9l27vX92Agz7BhIfcRHK+tsbEjbr9ZVrqL1eb3kDuPwxHxHEiSfe/er7YZMSLk9QWAWMWckC9evFj79u3rsnz//v1a7HdnPwAgdk2nneYb05y6caPSo3jgWsPixb4ZPDL/+teARNNKnuHD1Tx7tiTJvmePMvxucozE7p8sR/FgIBkjW1NTx9usrOj24fe7zBPiT8ihpOzZ89U2QQk5APRUzAm5MSZkpaqqqkpDhw6NS1AABr6cnJyYx7Ame6U81vhCVm5TU1X/wx/61sl++GEpxNOR/bdpP+AANZ18ckdS2tCgjCeeiKmaHevygAp9mM/eV928eb5Kd+Yrr8RWIe/U5nCE3Lf/Pk1DQ8dnSZ7MzKiOzVZbKyPJSGoPqpCHq3bb45SQh/te6cvv8fr6+qR/DgAwWEQ97eERRxzh+0Exb948paZ+tWl7e7u2bNmik08+OSFBAsBg0nr00Wo94gilrVunlOpqZb7wgpq++91ut2k491xlrFghW3OzMl98Uc3f/rY8Uc7hnUhNs2apfdgwpdTWKnP1atn37ZMniuJNQPU6igq5d7iKFEOF3O3+ah9RFpR8CbndLkMRCkCcRJ2Qn955s8v69eu1YMEC5fo9eCE9PV0FBQU644wz4h4gACRCX8xHHmkGkrDtNpvqLrxQw5YskTweZT35pBrnzZMZPrxLH77jGDFCjd/6lrKfekq2tjZlPfaY6q69tldxem/i726WlXDr+Na121U/d66GvPCC1NamzDfeUF1JSbczjthsNtn27v1qLvIhQwKeountO2DWlYaGr+LOygofj/+x+Q+LCUqug/fhXeZNyD3Dh3f7tNFQxxUPyfwXIgA9F3VCftNNN0mSCgoKdOaZZyozMzNhQQHAYNd+4IFqOvlkZZaVydbYqJzly1V3xRXdbtP4ne8os6xMdrdbGW+8ocb//V+1H3RQH0UcXv2JJ3Yk5JKyV6xQ3WmnRXxqpbdCbrKzpfT0iPvoSYU8xb8KH0212+PxjW33hPjPEQD0VMxjyBctWkQyDsBS8Rhna8WMGJFmNQkeJ11/7rm+5DLzlVeU8tln3fbpyc5Ww1lndYyLNkbZjzwScSaUaMaQh1qvvb1d7X4zwHg/h3o1jxun5oMPloxR2tatSvn4427X93gTX2PUPnRoVPEa75M6jYlqDLkUOCymfciQiN8P9s7ZbKT439AZ6Xs62e+fANA7MSfk7e3t+u1vf6ujjjpKeXl5GjFiRMALABAfZvhwNZx9ducHo5yHHgoYuhFK46mnyjN6tCQp7b33lPb++4kOMyp18+b53uesWNH9yi0tsncOQWmPZoYV9XAMeYyzrMTrhk4ACBZzQn7zzTfrrrvu0plnnql9+/Zp6dKl+va3vy273a5f/vKXCQgRwEDWk9lWeiMZ54oOFZN3Wf1pp6l9zBjJGKWvX6/UlSu7rRYrPV31fg/gyX74YZmg9YL3Ee3MJ91VtYNfbW1tAa99Rx2l9vR0GUnZb76p9vp6X1vwttqzJ2D2k2hiU0PDV9v4VcjDzt/u8ci2b19HRT0rSyYtrdvZVaTICXmyVbGTLR4A4cWckD/xxBN66KGH9JOf/ESpqak6++yz9ec//1k33nij/vOf/yQiRgAYvNLTVeedBtFmU9rnn0fcpPnEE9U+caIkdTy9sro6kRFGxWRlqf6YYyRJ9sZGZa9aFXbdmMd2S7L53dRpohxW6Z1lJeYZVkSFHEB8RX1Tp1d1dbUKCwslSbm5ub6HBH3zm9/UDTfcEN/oACAOkrEiHupzqFlMjDFqOuYYpX7722r6n/9R24EHdjvjSOcH1V1wgVI//FCN3/52x42RYfr2FzxjSrjPUsfwxVBf/dfx26FS9u3T3q9/XWlbt2rf3LmqKyyUp7VVkmTvnK3E+9XT3KzWMWOUWlur9vR0X98Bs6oEHbPHZlP7kCGyNzaqPSPDt01YHo/aR4yQsdvlycwMfR6D2FJT1T52rFJcLpkoh9JEQgUbgNSDCnl+fr527NghSTrooIP06quvSpLeffddZWRkxDc6ABhsjFHGihVS51MnJfkS7LYDD4y6m5bZs9Vw7rkBj5G3wpiHH9aBS5Zowk03qfHgg7Xt1lu176ST5PGbOjdY8+TJSnW5ZGtuVsaHH0a1n4b581W3cKFsra0a/vvfK+O997rfwG5Xzb33aufvfqf0zz+X8+KLlds5E0w4TfPna9/NN0sej4bccouy778/qtgAIJKYK+Tf+ta3tGLFCs2ZM0eXXXaZzj33XD388MPatm2brrrqqkTECGAQCK4UxqOqbcUsKv5SKivVfuihEaf482lo0JDf/16Zb76ptHnz5L7qKt+2wX2HO1/h5s/uLt7gr94qd3DV27/q3NbW1u263q8pX34p+549sklSVZVax43rEl9KSoqkwEq5SUmR2tullpYuFXJ7mPm/7S5Xx9zlra1qHzIkdLW+k7ev9MpKyWZTanV1wLCXcFKqqzuuiTFSdnbCK9xU0IHBIeaE/Pbbb/e9P/PMMzVx4kS98847mjJlik477bS4BgcA/ZV940ZlX3WV2goL1XD11TJjx0beZtcuZaxeLUnKWrFCLTNmqOmkkxIdakLVzZihnA8+kCTlbtyo2s6EPBJPRoZSGhpka26Oel+pO3f63rd1zjQTSUZlpe99c+dwzO6k+I3H90RxTQEgGjEPWQl29NFHa+nSpZozZ45uvfXWeMQEAP1be7sy/9//kzwepb7/voZceKHSysoiTlnYPn683Jdf7vvsuP9+pUZxE2cyq5sxw/c+d+PGqLcznUMg7f5DdyJI2bWrY9u0tKhv1PQm5CYtTS1Tp0beR+eQTUlqz8uLOjYA6E6vE3KvHTt2cFMngLjxTtlm9Z/sezRNYkqKmn/yE3k6EzZbY6Oy77xTOTfcINvu3d323Tx3rhq/+c2O7VpaNPTWW6X9+yM+vCdc3JHaQk17GG4Kw9bW1i6v5ubmgFdTU5OamprU0tKilpYWuceMUWturjzGKOuDD9TS0KCWlpaQfflPk9ient4Re1NTl+kRQ06X2NamlJoaGWPUNnKk2oOOI+S0hzt2dGwjqWXatIAngob63rPZbEpxuWSTZFPsFfJk+Z4OVl9fr/r6eqvDAAa1uCXkAICvtM+cqbqHHlJLcbFvWdqqVXJceKHSKyq63Xb/D3+o1ilTJHVUZIfefXfE6nrSstu1f9q0jrdNTcqOsuJvOpPjaCvk9vp62TrXbRs1KqptMv0q9tEMV5Hkm0LSpKbKE+V+ACASEvJecrvdqqqqksvlsjoUAJ3i8fCfuDxAKCdHTT/9qeqXLZNn+HBJkm3/fuXecotyb71Vtv37Q+7TpKWp9rrr5BkyRJKU8Z//KCfMDCDB1e7uHjIU7mFC3le4h/x4K9jeqrf/K7hCHlwpb2pq0u7Jk337yNqwQc3NzSH7CqiWex/U096uts4qeXBF3btdW1ubtGNHx39ajFHLyJFdKuNdHiQkKSOKhDygqm2Mbwy5x+mULSUloNrtv26yVcEBWMvlcqmqqkruzucfBCMh76WSkhKNHz9exX5VMADw13bssap7+GG1fv3rvmXp5eUadvHFSnv33ZDbePLytG/pUt/nIY89prRNmxIeayLsO+QQ33vH5s1RbePxe7iPPYobO9M6x49LUd7QaYwyvePHMzLUMnlyxE1s+/bJ1tgoifHjAGJTXFys8ePHq6SkJGR71LOsLPX7xRDKTr+72weT0tJSud1uVVZWkpQDvWALM71fX4l1vzGvP3So6m+4QWlvvKHse+6Rra5O9j175LjhBjWceaYazjuvy1SFLUcdpbrvfle5zzwjeTwafscd2vX738sT4qE0wdMddhdf8PSG4b62dj64J/irJLW0tEiSmjuTZW+bd4rCgHgyMlQ3erSyXS5lff65WnbvVorfMXinPfRum5qaqrbUVF8fbfv3qy0trcu0h/4PCLJVV/vWbx4xwjctY/BDh7xfU3bsUMru3ZLNpuZp06S0tC59+n+VpFS/v4R6/BLyZKuGRxtPsj0wCxjIysrKVFhYKIfDEbI96oR83bp1Edc54YQToo9sgHA4HHI4HKqpqbE6FADJzmZT64knqvbQQ5X7u98ptfPhNW2dY6xDqfve95S+ebPSKytl37NHw377W+351a+kMHNxJ6u9Bx+sbJdLNo9HQz/5RHVf+1q363v8HjRn70z+u5PqVyFvHTky4voB48f9ZoLpjt1vykMq5ABi4XQ6lZ+fH7Y96oT8jTfeiEtAABBKVlaWJKkhioezxJMVVUIzerT233KL0l96SSn//a9a5swJv3JKimqvvlqjrrhC9r17lbZ5s1K3bFHbQQdFv78QY8pDffZVpDury96Ktbf63eKXGDd13kDp/eqtlAdXyL2+nDBBee3tstlsyqmslGv6dL9D7KiQe5/23NbWpha7/at46urU3NzcpTLu/9n3UCBJTcOHyxMmDu82/uPHWw47LGxVOeABRn5THnoOOCDpKuPRCvc9X1dXJ0nK7eYpqgASI+YHAwEA4sBmU/Opp3a87+aJkpLkGT5ctddcI8f996v2mmvUNnFiHwQYX3snTZJJSZHN49GITz5RpLlWPH5TEEY1hnzPno43Nptahw9XSncrG+OrkJusLLUcdFBUN1QFPBSICjmAOCIhBzDgWD0ePZJY4vOu2zJjhnbde2/YoSo9qdYGjxn3Vre9n72Vcu/XZr/E2PuXjOBKuXddbx+pLS1Ka2pSw/Dh+uDYY9U0dKh2Tpqk9n37fH2ldY7f9vafmpoqV36+7IWFSnO71bJnj+r371eqdypE7zjwzsp6SkqKXPPnK7u6WimNjcpat05NhxwiT26ur++AvwIYI9eyZcrcuFGpjY2S3a7MtWvVfMQRIceOezWfeKI8Y8cqbe1apW7apPasLHny82ULuibd9RGt/lp9B9AzJOQA0F/0o3Hj9vZ2TVq7VtPeeUe1TqdWnnOOPjr+eF8ynRZh+90zZmjYjh0atX69hv7pT/pk0SLVdjO0p/aoo1SXmqrUvXt1yE9+IqWmavdJJ2nvued2XdlmU9sBB6jugAOUkpKijPXrNeLmm9XudGr/+eer+bjjQu6jbeZMtc2cqbQPP1TOH/8oSXI//LBUUBDNKQGAsEjIAQxqsVbTo1mvp5X54FlWgpd1tzzcetHEFzyGPLhiHqpC7n3f2DkNoPerd7y5p7lZk1auVOr+/Rq1f78yKitVnZ/fpbotfVUhT03t+JWU3lkJn75pk9ra2mSz2bR95Eh5Oqvq3vW966X7DW8ZWV4u4/HI1toqj93uOxbv/kLNojKktLRjHe9TOP3mEe9SqfZ4lNo5/aRxOGQmTJA9yarZ4b5HACSv/lNuAQD0G56UFK0/+mjf5yPeeSemp43a29o0tKpKktQ4fLiaQ0z12EV7u0a++WZnB3btnTs34iap27Ypc+3ajs2dTjUfc0y366dUVcnWefNj+6GHSiS9AOIg5gr5o48+qtzcXH3nO98JWP7ss8+qoaFBixYtiltwAAaf7OxsSfGZbaUnY7V7Ut2OtE2kWU5CVTKD44l1XHKo9aKNM9zYcv95yMNVyL1jyVtbW1V5wAE62OHQyL17NbyqSkPXr9fnEyZ02a+3Mu79mpmZKeeXX8rT1CSPpCqnU7t27VJm58OCvLOxeL9XvEZ+8onS9u6VJO0vLFTLiBFKV/dyO6vjklR/2mlSmEq6933aBx/4PrcFTZcYS0U6mlldeotKOdB/xFwhv+222zRq1Kguy8eMGaNbb701LkEBAPo/Y7Np1axZvs/HrFsnW5T/4XF++aXv/c7x46PaZlRFhe/9nv/5n4jr22trlV1e3hFrVpYav/GNiNuk+k2X2HbooVHFBQCRxFwh37ZtmyZNmtRl+cSJE7Vt27a4BAUA8RRqbHYiBI/F7s2+oh0THq766b9+uGp7uG2CvwbPviJ9Na7cOze5t0JeX18f8HlHRoamORw6YPduDdm1S6NXr9a6/Hxfn1LgbCmSlJOTo2M+/litnX1/mJUld02Nb37sIUOGSPpqtpX09HRl7N6tIRs3djzhdMQI7S8sDDjWUE/sHPLqq7K1tUk2mxpPPlnKyem2mhxQIU9NlWfq1C4V9HDbJZNI31ve+cgl5iQH+krMFfIxY8Zow4YNXZa///77GhnF09EAAIOIzabX/R4CdOInnyjFLxkPxe7xKL/zyZt12dlydybg3clbtco3Rn3n178eeUaalhbl/vOfvhjrv/nNiPuw7d0re2flvu3gg6X0SANiACA6MVfIzz77bF1++eUaMmSITjjhBElSRUWFrrjiCp111llxDxAAkkGkceDdbdOTinmkWVRi2d5b2Y7UR6gZSPz5V8iD5yr3Vsq9FXK32+37ulPS9IwMzXC7ld7QoLHvvKO/dY4Dl7o+qfPIjAy119erJTVVmzMztbMzOffuw/e0TW8fbW3K+89/ZJNk7HbtOe44pQZVxoNnWcl56y2l7Nsn2WxqOv54mbw82dS1ku5/DvzHj7fPmBH2PPWkIm5lFT3Z5+0HBoOYE/Jly5Zp69atmjdvnu8GHI/Hox/84AeMIQcAhPS3sWM1ozNJP33PHpU5nWoKU8Wesn+/7/3nUcyuMnLjRqXv3y+lpKj28MPVOnRo97/cjFHu3//u+1h/+ulRHIF80x1KXW/oBIDeiDkhT09P19NPP61ly5bp/fffV1ZWlgoLCzWxHz7KGQDQN6qys7V6+HDN2rVLQ9rbtXD/fj09dGjIdaf4jWHeEkVCPnblSt/7nUVFEdfPfP99pXXe89Q6bZpaDz44qvGb/jd0th96qJJrZDiA/qzHDwY6+OCDdfDBB8czFgBIuEh/no/H9IexToMYvG//deIxlCHckIpov3qHe3j/KhqqT++UiN6bOfd2Tj+4fft2SVJ1dbXubm/XA42Nsks6sbFRv6mpUbNfH3a7XTZjNDY1VY3GqDkzUyurq3VQ542F3gcC+R4+5PEoZ/duDf/4Y0lS85gxqp82TXa7vctUiv43jjr+8Q/f/OEN3/qW7HZ7lyEqwTeDqrlZKZ9+Kkky48fLNnx4xKko4zGUBcDgEFVCvnTpUi1btkw5OTlaunRpt+veddddcQkMADCwfJmSohdsNo2UdJ8xAcm410hJe+125bS368Ps7IgP3mlPS9MXJ5wg57vvatcJJ0S+mVNS3cKFstntSv3ii4gPAvKy19TIjBghW00Nw1UAxF1UCfm6det8FYl169YlNCAAkAIf+uK9UTCe4nkjW7g+or2pM1Qsva2mRjPtYbgpAYOnIQyuNvu3ebcJniKxrq5OKR6PDvnyS81vbNTddXXaJOl2SeHOuMfjUY2k05qb9RtJh+/bp5v379c9nTN4BT8DIz09XZ5Ro/Tl2Wer+owzNCQ313ejp7eaHqpC3jZ7tvYddZRsDQ1K6Vwv3DnxnbsJE1T31FOy1dRInccY6S8PwctDSaaqeajvQ+8UiEx/CCRWVAn5G2+8EfI9OmYQcLvdcrlcVocCAEll9t69+l5trSSpRNImhU/Gg42UNMbjkfxmdumOJz1dpvNJntEyQU/6jGqbMWNi3gYAXC6Xqqqq5HA45HA4urTHPA/5+eefr/1+d8B71dfX6/zzz+9ZlP1YSUmJxo8fr+LiYqtDAdDP2Wy2uL1C9RuJdyy195WSkqKUlBSlpqYqNTVVGRkZvldWVpaysrJ8n9PT05Wenu7bV2trq97NyVGDOiquCyRlRAogmDGSMb4+09LSlJaW5ttXuBj8X95tvMcS/Ap3zN59+rcFn6dI57678x7tNemNvtgHgOgUFxdr/PjxKikpCdkec0L++OOP+27a8dfY2Kjly5fHHmE/V1paqu3bt6usrMzqUAAgqTSnpOjNzofn5Eia29OOmB8bQD9XVlam7du3q7S0NGR71LOsuN1uGWNkjNH+/fuV6fenwfb2dpWVlWnMIPxTnvdPDzU1NVaHAiCBYhlzHo9x6bFWNoP3GWrGluC24PHS3of9BI8d947HTvd7MmVWVpYk+X4XeD/n5ORIkoZ1Tlf41tChOqXzwT4lkl6J9nj84ho6dKhks2lI5xM7vX17vwbH4h9r8Bjy4LHhkT4HV7yDl0XzOdLynqwby/dhbx4qxcOCgPhwOp3Kz88P2x51Qj5s2DDfn79CTXdos9l088039yxKAMCAtCk9XdWpqRre0qKvSXJK4o4bAAgUdUL+xhtvyBijE088Uc8995xGjBjha0tPT9fEiRM1bty4hAQJYHDzVl0TMdtKONHOV+4vuCIZa3UxVDU23OdIM7t013+k2VbCzbLiXyH3XhPvEMampiZJX83K4Z0RZfyECVqXlqaTt26VJJ3W1qZH7XbfbCyhTJgwQbm7dyujc/8HjBsnY7P5+hzZOeuKNwbvjDzeGVakr6r6wZXxiPONdwr+HGqbcO3RLo91nVDr9+QvNj0ZV+69d8z7VwoA8RV1Ql7U+fSzLVu2aMKECdwoAgCIysqRI7Vg61bZJH3TGD3KMAgACBDzkzpff/115ebm6jvf+U7A8meffVYNDQ1atGhR3IIDgP4kXAU61u2j2TZcezQV00hjob1fvZVx79hyb9XZf5m3Yur97H1mRXAluurLL3Xwvn2a0tKi70yYoPV++/Zu650KLD8/XyPXrlVmZ/U9Pz9fsts1fvx4SV9V37379o4h94/P+z5SZTyWucOtGCueCD2pmFOEAxIr5llWbrvtti4PZ5CkMWPG6NZbb41LUACAgWW10+l7f8K+fRZGAgDJJ+YK+bZt2zRp0qQuyydOnKht27bFJSgACCV4LHk8nrYZax/RrN+T8efdLQ/VFineWGbKCDee2rudt1Ieqp9wY4q9482947obhg6VfccOZTc1ab4xWj97tlqC+vWfRWXYli3K7Fw+adIkyW73zeTlXc87djx4RhWp6zj4WMd/R1Mhj7S8O4msOPd2ZpRQf6lhthUgsWKukI8ZM0YbNmzosvz999/33WgDAIC/ttRUfVRQIElKa2/XIdXV1gYEAEkk5gr52Wefrcsvv1xDhgzRCSecIEmqqKjQFVdcobPOOivuAQJAsHhW66KtHkdTEQ/uM9q5pKOpjEcaMx68XiznKNx46uBZV/z7DDcO2Tt22zsnuLeaXV9fL3dmpmpSU/XZ9OlqnzBB04PGdXvHgg8ZMkQpBx6o1s7ZvMaNGyfZ7WEr48EzqvjHHjx2PNyxR7s8Ult34lkVD3V9g5d5P0f7l5pQ3zuMHQf6RswJ+bJly7R161bNmzcv4IafH/zgB4whBwCEtWfcOA0ZN06HrF+vuiFDVNvNX1U3nH66Ro8eLUkaFmIKQgAYSGJOyNPT0/X0009r2bJlev/995WVlaXCwkJNnDgxEfEBQFKK5kmYwWKZ3SLWMc+xzK4SrjIfqVLuP0bbK7gC7V3HWyH3zpzS2Nio1Pp6fe3995Xa1KSJzz2nf193nZqHDu2yjbcCHm6ece/X4Mq4f4U8XjOixKNC3NdV5uDKeKQ568M9pdQflXIgsWJOyL0OPvjgkE/sBAAglImvvqrUzgcI7TjySDUPHWpxRACQHHqUkFdVVam0tFTbtm1TS0tLQNtdd90Vl8AAIJnEMjY73LqxzL7S0yd19mZWjEhPr/TnrWoHb+OtWgePJR/udmvCqlVSaqo86enaf+65yhs+XFLXJ4J6K+DebYMr4t71vF9DVXajrZAH600l2Oo5xcNVxr3zvIcTPKuOP+8xef9aASAxYk7IV6xYoZKSEh144IH68MMPNWPGDG3dulXGGB155JGJiBEA0M+NffZZ2TweGUk1J5+sts5kHADQg2kPr7/+ev30pz9VZWWlMjMz9dxzz2n79u0qKirq8vROAAByNm3S0PXrJUmtw4dr54IF1gYEAEkm5gr55s2b9X//938dG6emqrGxUbm5ufrVr36lhQsX6pJLLol7kADQH0S6abI3fcajj2iH0IQb7hFqCEtwm3d4hG+qxPZ2HfDss7722u99T9lBs6sED0EJHvYS3B5uqEp/fphPIgRf1+ChK8FDVeL5fQsgNjFXyHNycnzjxseOHavPPvvM17Zr1674RQYA6Pccb76pjM6nODdNmiT3ccdZHBEAJJ+YK+RHH3203n77bU2bNk3FxcX6yU9+osrKSv3tb3/T0UcfnYgYASBAbm6uJKmurq7XffVk+sBE7SuWymRvpj2MtpLvbQ+ufvsvCzd1niTZGhs1+tlnO9psNu07/3xldk5h6L9e8AOIwlXEve19WRkf7NXiRP57APCVmBPyu+66y/dL8Oabb1ZdXZ2efvppTZkyZVDOsOJ2u+V2u+VyuawOBQCSytC//10ptbWSpIY5c9R86KHWBgQAFnG5XKqqqpLD4fA9n8FfzAn5gQce6Hufk5OjBx54oHcR9nMlJSWqqKiwOgwAfaS7x4tHqnj3xRjdePYdy5j44LaU3bs19B//kM1mk0lJUd155yktLS1kJT24Qh7ua7gHF4WLIdq2eKyfjIKvX7jpDbs7rwPhPADJoLi4WJJUVFSk8vLyLu08j7iXSktLtX37dpWVlVkdCgAkjfbhw7X3hz9U+9ChqjvlFLWNG2d1SABgmbKyMm3fvl2lpaUh26OqkA8fPjzq/yXv2bMn+ugGAO+fHmpqaqwOBUAc9ObBOuH66OmDgnrD/2d2pP32ZHaYiNukpKhpwQK1FBVJxnR5kFCoCnm4Snl3j3SPFO9Ar4xHE2+48f6R/uIg8UAgIF6cTqfy8/PDtkeVkN99993xigcAMIiYrCxJUv9KcwGgb0WVkC9atCjRcQDAgBftWPNoxFJVj7ZC35tKefDn4K/BVfCA2ViC1gkeMx5un/GsjPc33d3LEGmb4M/RVMoBJFbMN3X6a2pq8s1J7hXqzlEAAAAAocWckNfX1+vaa6/VM888o927d3dpb29vj0tgAGClnozvjrXi3NdzPEeabzzSrDCxjFcO/hw8DtxbBfdfFm5+8b6o3PbXqnCoewVimX3Gv937lXHjQN+LeZaVa665Rq+//rruv/9+ZWRk6M9//rNuvvlmjRs3TsuXL09EjAAAAMCAFXOF/B//+IeWL1+uuXPnavHixfr617+uyZMna+LEiXriiSd0zjnnJCJOAEgq8ZzFpCeV8lj2Ea7/4Mp0PJ4cGm7seLix5KHawvUZKa6eVLn7a2U8lHDnKdrrOpDOBdDfxFwh37Nnj+/hQA6HwzfN4fHHH68333wzvtEBAAAAA1yPntS5ZcsWTZgwQYcccoieeeYZHXXUUfrHP/6hYcOGJSBEAOidaKrFidxvT2Yx6W2c3T1tMdZ50buLN3hZuIp4uCp4qHUixR0phu4M5Cpwbyvi2dnZiQkMQEQxV8gXL16s999/X5J03XXX6b777lNmZqauuuoqXX311XEPEAAAABjIYq6QX3XVVb738+fP14cffqg1a9Zo8uTJOuyww+IaHAD0RjyqodHMthJpnXjM9x2p7+7WDx4jHu2Y9+7EOv94dzOm9LQyPpgN5jnYgYGoV/OQS9LEiRM1ceLEeMQCAAAADDpRJ+SNjY1asWKFvvnNb0qSrr/+ejU3N/vaU1JStGzZMmVmZsY/SgDogVAV357MLx7tdpFmT4lUKY9m3Uh9RyPSWPFI24VaFu3XaPrqbp1Y2nu6LgD0tagT8scff1wvvfSSLyH/wx/+oEMPPVRZWVmSpA8//FDjxo0LGNICAAAAoHtR39T5xBNP6KKLLgpY9uSTT+qNN97QG2+8od/85jd65pln4h5gb9x3330qKChQZmam5syZo9WrV3dZxxijU045RTabTS+88IJv+datW6moAAAAIOGiTsg//fRTFRYW+j5nZmYGTF911FFH6YMPPohvdL3w9NNPa+nSpbrpppu0du1aHX744VqwYIFqamoC1rv77rtJvIEBzhjje/WWzWaL+mdGuHWDl3s/+7+6a4tmfbvdHrdXSkqKUlJSQi4L1eb/ijb+UMcQj2uAyLKzs5nyELBY1Al5bW1twJjxnTt3qqCgwPfZ4/EEtFvtrrvu0oUXXqjFixdr+vTpeuCBB5Sdna1HHnnEt8769et15513BiwDAAAA+lLUCXl+fr42btwYtn3Dhg3Kz8+PS1C91dLSojVr1mj+/Pm+ZXa7XfPnz9fKlSslSQ0NDfre976n++67T3l5eVaFCsAi4aqzPdk+2nWjXR5NfMHtPalIh6uER1v97u4VbTU8mmPtjYFWTY/n8VAZB5JH1Dd1FhcX68Ybb9Spp57aZSaVxsZG3XzzzTr11FPjHmBP7Nq1S+3t7XI6nQHLnU6nPvzwQ0kd86kfe+yxWrhwYcg+CgoKuv3zttvtltvt9n12uVxxiBwAAAADjcvlUlVVle+zw+GQw+HwfY46If/Zz36mZ555RlOnTtWSJUt08MEHS5I++ugj/eEPf1BbW5t+9rOfxTH0xCktLdXrr7+udevW9biPkpISVVRUxDEqANGqq6uLe5+RphWMZttopw2MZsrCaKc1jGX6w3hWirur7Pdku97sczCJ5eFNAJJHcXFxwOeioiKVl5f7PkedkDudTr3zzju65JJLdN111wX8UPjGN76hP/7xj10q0lYZNWqUUlJSulStXS6X8vLy9Prrr+uzzz7TsGHDAtrPOOMMff3rXw84QeGUlpYGVMgrKyu7nGwAAACgrKwsYHIU/+q4FOOTOidNmqSXX35Ze/bs0aeffipJmjx5skaMGBGHUOMnPT1ds2bN0ooVK3T66adL6rjpdMWKFVqyZInOO+88/fCHPwzYprCwUL/73e902mmnRbWP4D81BM/eAiB59HSMuJTYSrlXdw8GCtabBwLFUyIr4fHsA10xbhzoe06ns9t7LWNKyL1GjBiho446qsdB9YWlS5dq0aJFmj17to466ijdfffdqq+v1+LFi+V0OkPeyDlhwgRNmjTJgmgBAAAwWPUoIe8PzjzzTO3cuVM33nijqqurNXPmTL388stJM6wGQOL1lwprLNX4ZDumZK2EJ9t5ijfGkgMDy4BNyCVpyZIlWrJkSVTrxuOBIQAAAECsBnRCDmBwSWSlNRFjycNt1xPJVl23onI7GKvFsdx/wNhxIHlF/WAgAAAAAPFHhRxAv5esldHezG3e2331NSriyYMhmED/Q4UcAAAAsBAVcgD9Xn+ZcaIvK+bRxNGXY9x7I9mva7LLycmxOgQAEVAhBwAAACxEhRxAv5ObmytJqqur67N99rSqHE2fVrF6/+Eka1z9DZVxoP+gQg4AAABYiIQcAAAAsBBDVgD0W1YMXUF0GHYCANGjQg4AAABYiAo5AESBh610bzBVxGM91r7+3uFmTqD/oUIOAAAAWIgKOYB+L3gseSKqtYmY9rA/6+8V8b68nj3ZV38/vwBiQ4W8l9xut6qqquRyuawOBQAAAEnI5XKpqqpKbrc7ZDsV8l4qKSlRRUWF1WEA0FeVcq/6+vq47yMelctwldJY+o5HZTfc/uIRX7IJF3us5yBeMQzEcwwgvOLiYklSUVGRysvLu7STkPdSaWmp3G63KisrfScbAAAA8CorK1NhYaEcDkfIdhLyXnI4HHI4HKqpqbE6FABBQs02kYiqeaziUQUN7iOR45NjWT/Sun01Br+357ivxpjHK05JysrK6m04ABLE6XQqPz8/bDtjyAEAAAALUSEHMKhFqoAOxjG9PTnmaLdJROW5r6+RN/be7DeelXEA/R8VcgAAAMBCVMgBDCrB48q9c5f3d7FUnuNR4Q3ebzy2S6a/VvT1eYxW8L4YNw4MDFTIAQAAAAtRIQcwqAU/5bO/689PFE3kE1bDCT5PPTlvPamUB+8n2m2piAMDExVyAAAAwEJUyAGgG1aME+4rPa3SWiU7O9vqEHokmrnvI12L/nrsAKJDhRwAAACwEBVyANBXY8m9ejKmvDdPzxwsBmOlN9QTYwHAHxVyAAAAwEIk5AAAAICFGLICACEED2HxCnWDXrLfDJkI3HQIAPFDhRwAAACwEBVyAIhBqBv0vFXzgVop56ZEAEgsKuQAAACAhaiQA0AveSvI/bVSHm68PACgb1Ah7yW3262qqiq5XC6rQwEAAEAScrlcqqqqktvtDtlOhbyXSkpKVFFRYXUYAJJA8FjraB6ZHm/dPYyISjgAWKO4uFiSVFRUpPLy8i7tJOS9VFpaKrfbrcrKSt/JBgAAALzKyspUWFgoh8MRsp2EvJccDoccDodqamqsDgVAkunLijkzoQBA8nI6ncrPzw/bzhhyAAAAwEJUyAGgj1DFBgCEQoUcAAAAsBAJOQAAAGAhEnIAAADAQiTkAAAAgIVIyAEAAAALkZADAAAAFiIhBwAAACxEQg4AAABYiIQcAAAAsBAJOQAAAGAhEnIAAADAQiTkAAAAgIVIyAEAAAALkZADAAAAFiIhBwAAACxEQt5LbrdbVVVVcrlcVocCAACAJORyuVRVVSW32x2yPbWP4xlwSkpKVFFRYXUYAAAASFLFxcWSpKKiIpWXl3dpJyHvpdLSUrndblVWVvpONgAAAOBVVlamwsJCORyOkO0k5L3kcDjkcDhUU1NjdSgAAABIQk6nU/n5+WHbGUMOAAAAWIiEHAAAALAQCTkAAABgIRJyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCTkAAABgIRJyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIQcAAAAsREIOAAAAWIiEvJfcbreqqqrkcrmsDgUAAABJyOVyqaqqSm63O2R7ah/HM+CUlJSooqLC6jAAAACQpIqLiyVJRUVFKi8v79JOQt5LpaWlcrvdqqys9J1sAAAAwKusrEyFhYVyOBwh20nIe8nhcMjhcKimpsbqUAAAAJCEnE6n8vPzw7YzhhwAAACwEAk5AAAAYCEScgAAAMBCJOQAAACAhUjIAQAAAAuRkAMAAAAWIiEHAAAALERCDgAAAFiIhBwAAACwEAk5AAAAYCEScgAAAMBCJOQAAACAhQZ0Qn7fffepoKBAmZmZmjNnjlavXu1rmzt3rmw2W8DrRz/6ka9969atstlsVoQNAACAQWTAJuRPP/20li5dqptuuklr167V4YcfrgULFqimpsa3zoUXXqgdO3b4XnfccYeFEQMAAGAwGrAJ+V133aULL7xQixcv1vTp0/XAAw8oOztbjzzyiG+d7Oxs5eXl+V4Oh8PCiAEAADAYDciEvKWlRWvWrNH8+fN9y+x2u+bPn6+VK1f6lj3xxBMaNWqUZsyYoeuvv14NDQ1WhAsAAIBBLNXqABJh165dam9vl9PpDFjudDr14YcfSpK+973vaeLEiRo3bpw2bNiga6+9Vh999JH+9re/SZIKCgpkjAm7D7fbLbfb7fvscrkScCQAAADo71wul6qqqnyfHQ5HwMiMAZmQR+Oiiy7yvS8sLNTYsWM1b948ffbZZzrooIMibl9SUqKKiopEhggAAIABoLi4OOBzUVGRysvLfZ8HZEI+atQopaSkdKlau1wu5eXlhdxmzpw5kqRPP/00qoS8tLQ0oEJeWVnZ5WQDAAAAZWVlKiws9H0Ovm9xQCbk6enpmjVrllasWKHTTz9dkuTxeLRixQotWbIk5Dbr16+XJI0dOzaqfQT/qcF/9hYAAADAy+l0Kj8/P2z7gEzIJWnp0qVatGiRZs+eraOOOkp333236uvrtXjxYn322Wd68sknVVxcrJEjR2rDhg266qqrdMIJJ+iwww6zOnQAAAAMIgM2IT/zzDO1c+dO3XjjjaqurtbMmTP18ssvy+l0qqWlRf/61798Sfr48eN1xhln6Be/+IXVYQMAAGCQGbAJuSQtWbIk5BCV8ePHc0MmAAAAksKAnIccAAAA6C9IyAEAAAALkZADAAAAFiIhBwAAACxEQg4AAABYiIQcAAAAsBAJOQAAAGAhEnIAAADAQiTkAAAAgIVIyAEAAAALkZADAAAAFiIhBwAAACxEQg4AAABYiIQcAAAAsBAJeS+53W5VVVXJ5XJZHQoAAACSkMvlUlVVldxud8j21D6OZ8ApKSlRRUWF1WEAAAAgSRUXF0uSioqKVF5e3qWdhLyXSktL5Xa7VVlZ6TvZAAAAgFdZWZkKCwvlcDhCtpOQ95LD4ZDD4VBNTY3VoQAAACAJOZ1O5efnh21nDDkAAABgIRJyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCTkAAABgIRJyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCTkAAABgIRLyXnK73aqqqpLL5bI6FAAAACQhl8ulqqoqud3ukO2pfRzPgFNSUqKKigqrwwAAAECSKi4uliQVFRWpvLy8SzsJeS+VlpbK7XarsrLSd7IBAAAAr7KyMhUWFsrhcIRsJyHvJYfDIYfDoZqaGqtDAQAAQBJyOp3Kz88P284YcgAAAMBCJOQAAACAhUjIAQAAAAuRkAMAAAAWIiEHAAAALERCDgAAAFiIhBwAAACwEAk5AAAAYCEScgAAAMBCJOQAAACAhUjIAQAAAAuRkAMAAAAWIiEHAAAALERCDgAAAFiIhBwAAACwEAk5AAAAYCEScgAAAMBCJOS95Ha7VVVVJZfLZXUoAAAASEIul0tVVVVyu90h21P7OJ4Bp6SkRBUVFVaHAQAAgCRVXFwsSSoqKlJ5eXmXdhLyXiotLZXb7VZlZaXvZAMAAABeZWVlKiwslMPhCNlOQt5LDodDDodDNTU1VocCAACAJOR0OpWfnx+2nTHkAAAAgIVIyAEAAAALkZADAAAAFiIhBwAAACxEQg4AAABYiIQcAAAAsBAJOQAAAGAhEnIAAADAQiTkAAAAgIVIyAEAAAALkZADAAAAFiIhBwAAACxEQg4AAABYiIQcAAAAsBAJOQAAAGAhEnIAAADAQiTkAAAAgIVIyHvJ7XarqqpKLpfL6lAAAACQhFwul6qqquR2u0O2p/ZxPANOSUmJKioqrA4DAAAASaq4uFiSVFRUpPLy8i7tJOS9VFpaKrfbrcrKSt/JBgAAALzKyspUWFgoh8MRsp2EvJccDoccDodqamqsDgUAAABJyOl0Kj8/P2w7Y8gBAAAAC5GQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCTkAAABgIRJyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALDQgE3I77vvPhUUFCgzM1Nz5szR6tWrA9pXrlypE088UTk5OXI4HDrhhBPU2Njoa7fZbNq6dWsfRw0AAIDBZkAm5E8//bSWLl2qm266SWvXrtXhhx+uBQsWqKamRlJHMn7yySfrpJNO0urVq/Xuu+9qyZIlstsH5OkAAABAEhuQGehdd92lCy+8UIsXL9b06dP1wAMPKDs7W4888ogk6aqrrtLll1+u6667ToceeqimTp2q7373u8rIyLA4cgAAAAw2Ay4hb2lp0Zo1azR//nzfMrvdrvnz52vlypWqqanRqlWrNGbMGB177LFyOp0qKirS22+/bWHUAAAAGKxSrQ4g3nbt2qX29nY5nc6A5U6nUx9++KE+//xzSdIvf/lL/fa3v9XMmTO1fPlyzZs3Txs3btSUKVMkScaYbvfjdrvldrt9n10uV5yPBAAAAAOBy+VSVVWV77PD4ZDD4fB9HnAJeSQej0eSdPHFF2vx4sWSpCOOOEIrVqzQI488ottuuy2qfkpKSlRRUZGwOAEAADAwFBcXB3wuKipSeXm57/OAS8hHjRqllJSULhVrl8ulvLw8jR07VpI0ffr0gPZp06Zp27ZtUe+ntLQ0oEJeWVnZ5WQDAAAAZWVlKiws9H32r45LA3AMeXp6umbNmqUVK1b4lnk8Hq1YsULHHHOMCgoKNG7cOH300UcB23388ceaOHFi1PtxOBzKz8/3vYKHyAAAAABSx9Bp/7wxOCEfcBVySVq6dKkWLVqk2bNn66ijjtLdd9+t+vp6LV68WDabTVdffbVuuukmHX744Zo5c6Yef/xxffjhh/rrX/9qdegAAAAYZAZkQn7mmWdq586duvHGG1VdXa2ZM2fq5Zdf9lWxr7zySjU1Nemqq67Snj17dPjhh+u1117TQQcdZHHkAAAAGGxsJtJ0IojK2rVrNWvWLK1Zs0ZHHnmk1eEAAADAYtHmhwNuDDkAAADQn5CQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCTkAAABgIRJyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCTkAAABgIRLyXnK73aqqqpLL5bI6FAAAACQhl8ulqqoqud3ukO2pfRzPgFNSUqKKigqrwwAAAECSKi4uliQVFRWpvLy8SzsJeS+VlpbK7XarsrLSd7IBAAAAr7KyMhUWFsrhcIRsJyHvJYfDIYfDoZqaGqtDAQAAQBJyOp3Kz88P284YcgAAAMBCJOQAAACAhUjIAQAAAAuRkAMAAAAW4qbOJNbYKD3zjPT889L+/VJenvT970snnSTZ+a8UAADAgEBCnqRWrZIWLpSCnzf05JPSrFlSaak0bpw1sQEAACB+qLMmoc2bO6rg4R7+uWZNR3tdXd/GBQAAgPgjIU9Ct9wieZ+setxx0ttvS7W10nPPSRMmdCzftElavtyyEAEAABAnJORJZu9e6dlnO96PGCH9858dSfnQodK3v92RlHv96U/WxAgAAID4ISFPMv/9r9TS0vH+m9+UhgwJbJ89W5oypeP9xx/3bWwAAACIPxLyJJOW9tX7vXu7tre3S/v2dV0XAAAA/RMJeZKZMkVyOjvel5VJGzYEtj/2mFRT0/H+hBP6NDQAAAAkAAl5kklPl374w4737e3S8cdL11zTcQPnokXSRRd9te6Pf2xNjAAAAIgf5iFPQtddJ73yivTeex0PBPrNb7quc/750imn9H1sAAAAiC8q5EkoN1dasaLjqZzB48SHDZN++UvpoYckm82K6AAAABBPVMiTlMPRMUzlN7/pGEvudkt5edJpp0nZ2VZHBwAAgHghIU9yTqe0eLHVUQAAACBRGLLSS263W1VVVXKFe849AAAABjWXy6Wqqiq5vY9iD0KFvJdKSkpUUVFhdRgAAABIUsXFxZKkoqIilZeXd2knIe+l0tJSud1uVVZW+k42AAAA4FVWVqbCwkI5HI6Q7STkveRwOORwOFTjfVoPAAAA4MfpdCo/Pz9sO2PIAQAAAAuRkAMAAAAWIiEHAAAALERCDgAAAFiIhBwAAACwEAk5AAAAYCEScgAAAMBCJOQAAACAhUjIAQAAAAuRkAMAAAAWIiEHAAAALERCDgAAAFgo1eoABorGxkZJ0ubNmy2OBAAAAMnAmxd688RwSMjjZOvWrZKkc88919pAAAAAkFS2bt2q4447Lmy7zRhj+jCeAWvXrl165ZVXVFBQoKysrC7tLpdLxcXFKisrk9PpjMs+6TO5++wPMdLn4OyzP8RIn8nfZ3+IkT4HZ5/JFGNjY6O2bt2qBQsWaNSoUeFXNOgT27dvN5LM9u3b6XOQ9NkfYqTPwdlnf4iRPpO/z/4QI30Ozj77Q4zBuKmzjzgcDhUVFcnhcCR1n4nQX4493n1yfQZnn4nQH743+0ufidBfjr0/fB8lQn84l/2pz0ToD9+biT6XDFlBgKqqKo0fP17bt29Xfn6+1eEgCNcn+XGNkhvXJ7lxfZIf1ygxqJAjQH/53/RgxfVJflyj5Mb1SW5cn+THNUoMKuQAAACAhaiQAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCXk/9+abb+q0007TuHHjZLPZ9MILLwS019XVacmSJcrPz1dWVpamT5+uBx54IGCdjz76SMcdd5zy8/P161//OuR+jDE65ZRTuuzj/fff19lnn63x48crKytL06ZN0+9///uAbR977DHNnTs3Hoc7qNx+++2y2Wy68sorfcsefPBBzZ07Vw6HQzabTbW1tV22s9ls2rp1a5/FOZiFukZNTU269NJLNXLkSOXm5uqMM86Qy+XytW/dulU2m82CaAe++++/X4cddpgcDoccDoeOOeYY/fOf//S1f/bZZ/rWt76l0aNHy+Fw6Lvf/W7AtZH495Noka5RdXW1vv/97ysvL085OTk68sgj9dxzzwX0wTVKnO6uj/dnV6jXs88+G7AOYkdC3s/V19fr8MMP13333ReyfenSpXr55Zf1l7/8RZs3b9aVV16pJUuWqLS01LfOkiVLdO655+rvf/+7/v73v+udd97p0s/dd98d8h/ZmjVrNGbMGP3lL3/Rpk2b9POf/1zXX3+9/vCHP8TvIAehd999V3/605902GGHBSxvaGjQySefrJ/97GcWRQavcNfoqquu0j/+8Q89++yzqqio0Jdffqlvf/vbFkU5uOTn5+v222/XmjVr9N577+nEE0/UwoULtWnTJtXX1+ukk06SzWbT66+/rn//+99qaWnRaaedJo/HY3Xog0Z310iSfvCDH+ijjz5SaWmpKisr9e1vf1vf/e53tW7dOosjHxy6uz7jx4/Xjh07Al4333yzcnNzdcopp1gdev+XkOd/whKSzPPPPx+w7NBDDzW/+tWvApYdeeSR5uc//7nv86xZs8yqVatMS0uLKSkpMS+99FLA+uvWrTMHHHCA2bFjR8h9BPvxj39s/ud//sf3+dFHHzVFRUU9OqbBaP/+/WbKlCnmtddeM0VFReaKK67oss4bb7xhJJm9e/d2aZNktmzZkvA4B7Nw16i2ttakpaWZZ5991rfu5s2bjSSzcuVKY4wxW7ZsMfzo7TvDhw83f/7zn80rr7xi7Ha72bdvn6+ttrbW2Gw289prr/mW8e+n73mvkTHG5OTkmOXLlwe0jxgxwjz00EO+z1yjvuV/fYLNnDnTnH/++b7P/HzrOSrkA9yxxx6r0tJSffHFFzLG6I033tDHH3+sk046ybfOr371K82fP1/Z2dmy2+1asGCBr62hoUHf+973dN999ykvLy+qfe7bt08jRoyI+7EMFpdeeqlOPfVUzZ8/3+pQEEa4a7RmzRq1trYGLD/kkEM0YcIErVy5sq/DHNTa29v11FNPqb6+Xsccc4yam5tls9mUkZHhWyczM1N2u11vv/22hZEOXsHXSOr4nfX0009rz5498ng8euqpp9TU1MSwRwuEuj7+1qxZo/Xr1+uCCy6wILqBJ9XqAJBY9957ry666CLl5+crNTVVdrtdDz30kE444QTfOsXFxdq5c6fcbrdGjx4dsP1VV12lY489VgsXLoxqf++8846efvppvfTSS75l5513ns4777y4HM9A99RTT2nt2rV69913e9yH4VlfCdXdNaqurlZ6erqGDRsWsNzpdKq6ulqSVFBQwDVKoMrKSh1zzDFqampSbm6unn/+eU2fPl2jR49WTk6Orr32Wt16660yxui6665Te3u7duzY4duea5N44a6RJD3zzDM688wzNXLkSKWmpio7O1vPP/+8Jk+e7Nuea5RY3V0ffw8//LCmTZumY4891reMn289R4V8gLv33nv1n//8R6WlpVqzZo3uvPNOXXrppfrXv/4VsF5GRkaXZLy0tFSvv/667r777qj2tXHjRi1cuFA33XRTQAUe0dm+fbuuuOIKPfHEE8rMzLQ6HITANUp+U6dO1fr167Vq1SpdcsklWrRokT744AONHj1azz77rP7xj38oNzdXQ4cOVW1trY488kjZ7fwq7EvhrpEk3XDDDaqtrdW//vUvvffee1q6dKm++93vqrKy0uKoB4/uro9XY2OjnnzySarj8WThcBnEmYLGdzc0NJi0tDTz4osvBqx3wQUXmAULFkTs74orrjA2m82kpKT4XpKM3W7vMiZ806ZNZsyYMeZnP/tZPA5lUHr++eeNpC7n23sN2trafOt2N4YciRPpGv3rX/8KeV0mTJhg7rrrLmuCHuTmzZtnLrroooBlO3fu9F0jp9Np7rjjDgsig5f3Gn366adGktm4cWOX9osvvtii6BDq39Dy5ctNWlqaqampsSiqgYchKwNYa2urWltbu1R/UlJSoppV4LrrrtMPf/jDgGWFhYX63e9+p9NOO823bNOmTTrxxBO1aNEi3XLLLfEJfhCaN29elyrQ4sWLdcghh+jaa69VSkqKRZHBK9I1Gj9+vNLS0rRixQqdccYZkjqmFd22bVvIMZhIPI/Ho+bm5oBlo0aNkiS9/vrrqqmpUUlJiRWhoZP3GjU0NEhSj39nITFC/Rt6+OGHVVJS0uUv6+g5EvJ+rq6uTp9++qnv85YtW7R+/XqNGDFCEyZMUFFRka6++mplZWVp4sSJqqio0PLly3XXXXdF7DsvLy/kjZwTJkzQpEmTJHUMUznxxBO1YMECLV261DdONiUlhX+oMRoyZIhmzJgRsCwnJ0cjR470La+urlZ1dbXvmldWVmrIkCGaMGECN9L2gWiu0QUXXKClS5dqxIgRcjgcuuyyy3TMMcfo6KOPtiLkQeX666/XKaecogkTJmj//v168sknVV5erldeeUWS9Oijj2ratGkaPXq0Vq5cqSuuuEJXXXWVpk6danHkg0d31+iQQw7R5MmTdfHFF+u3v/2tRo4cqRdeeEGvvfaaXnzxRatDHxQi/RuSpE8//VRvvvmmysrKLIx0ALK6RI/e8Q5dCH4tWrTIGGPMjh07zHnnnWfGjRtnMjMzzdSpU82dd95pPB5Pj/anoGExN910U8j9T5w4sfcHhy7THoY7348++qhlMQ52wdeosbHR/PjHPzbDhw832dnZ5lvf+pbZsWOHdQEOIueff76ZOHGiSU9PN6NHjzbz5s0zr776qq/92muvNU6n06SlpZkpU6b06mcheibSNfr444/Nt7/9bTNmzBiTnZ1tDjvssC7TICJxIl0fY4y5/vrrzfjx4017e7tFUQ5MNmO4HRYAAACwCreWAwAAABYiIQcAAAAsREIOAAAAWIiEHAAAALAQCTkAAABgIRJyAAAAwEIk5AAAAICFSMgBAAAAC5GQAwAAABYiIQeAJPfYY49p2LBhCd/P3LlzdeWVVyZ8P4lUXl4um82m2trauPe9detW2Ww2rV+/Pu59AxjcSMgBIEGqq6t1xRVXaPLkycrMzJTT6dRxxx2n+++/Xw0NDZbFFS5p/dvf/qZly5b1uN9kSOiPPfZY7dixQ0OHDpXUd/+ZAYDeSLU6AAAYiD7//HMdd9xxGjZsmG699VYVFhYqIyNDlZWVevDBB3XAAQeopKTE6jADjBgxwuoQei09PV15eXlWhwEAMaFCDgAJ8OMf/1ipqal677339N3vflfTpk3TgQceqIULF+qll17Saaed5lv3rrvuUmFhoXJycjR+/Hj9+Mc/Vl1dXdi+P/vsMy1cuFBOp1O5ubn62te+pn/9618B6zQ3N+vaa6/V+PHjlZGRocmTJ+vhhx/W1q1b9T//8z+SpOHDh8tms+m8886T1LXCHa6Pnnruued06KGHKiMjQwUFBbrzzjsD2gsKCnTrrbfq/PPP15AhQzRhwgQ9+OCDAeu88847mjlzpjIzMzV79my98MILAcNI/Kv/5eXlWrx4sfbt2yebzSabzaZf/vKXkiSbzaYXXnghoO9hw4bpscce831evXq1jjjiCN++1q1b1+WYNm7cqFNOOUW5ublyOp36/ve/r127dvX4HAEYnEjIASDOdu/erVdffVWXXnqpcnJyQq5js9l87+12u+655x5t2rRJjz/+uF5//XVdc801Yfuvq6tTcXGxVqxYoXXr1unkk0/Waaedpm3btvnW+cH/b+feQqLq2jiA/zfi0OSU8g6Fg5gmo3lA7YRUXkiGdqMXQklJvXag0AoqsryqpMGLUDs5ZBIk2YkOWhchiYkFDUlqjkmNo5RC5Gh2IkYsrXnei5d3824d7eT3DX3f/wcbXGuv9ay199XjmrX2n3/iypUrOHXqFBwOByorK2EwGBAaGoqamhoAgNPphMvlwsmTJ72OM1mMn9HW1obs7GysW7cOnZ2dKCoqwsGDBzUJMACUlZWpye+OHTuQn58Pp9MJAPj48SMyMzMRHx+Px48fw2KxoLCwcNIxV6xYgRMnTmD27NlwuVxwuVwoKCj4rvm63W5kZGQgNjYWbW1tKCoqmtD3w4cPSE1NxaJFi9Da2oo7d+5gcHAQ2dnZP/ZyiIiEiIimVXNzswCQ2tpaTb3RaJSAgAAJCAiQAwcOTNr/+vXrYjQa1XJVVZUEBgZOOWZcXJyUl5eLiIjT6RQA0tDQ4LVtU1OTAJD3799r6lNSUmT37t3fFcObf/cfLycnR9LS0jR1+/fvl9jYWLUcFhYmGzZsUMsej0fmzp0rFRUVIiJSUVEhRqNRRkZG1DZnz54VANLe3u712SZ7dwDk5s2bmrrAwECpqqoSEZHKysoJY1VUVGjGslgskp6eronx8uVLASBOp9PreyAi8oYr5ERE/yWPHj2C3W5HXFwcPn/+rNbfvXsXq1atQkhICGbNmoWNGzfi7du3kx78dLvdKCgoQExMDIKCgmAwGOBwONQVcrvdDj8/P6SkpPz0XKcjxr85HA4kJydr6pKTk9HT04OvX7+qdQkJCerfiqIgODgYr1+/BvD3in5CQgJmzJihtklKSpqW+Xmb7/ixli9frmnT0dGBpqYmGAwG9YqOjgbw97YiIqLvxUOdRETTzGw2Q1EUdavFPyIiIgAAer1erevr60NGRgby8/NRXFyMP/74Aw8ePMDWrVsxOjqKmTNnTohfUFCAhoYGlJaWwmw2Q6/XY82aNRgdHZ0Q/2dNR4yf4e/vrykrigKPxzPt4yiKAhHR1I2Njf1QDLfbjczMTBw9enTCPZPJ9EvzI6L/L1whJyKaZkajEWlpabBarRgeHp6ybVtbGzweD8rKyrBs2TJERUWhv79/yj42mw2bNm1CVlYW4uPjERwcjL6+PvV+fHw8PB4P7t+/77W/TqcDAM3K9HjfivGjYmJiYLPZNHU2mw1RUVHw8/P7rhgLFixAZ2en5teFlpaWKfvodDqvzzlnzhy4XC613NPTo/lFIiYmBk+ePMGnT5/UuubmZk2MxYsX4+nTpwgPD4fZbNZck50dICLyhgk5EdF/wOnTp/HlyxcsXboUV69ehcPhgNPpxMWLF9HV1aUmoWazGWNjYygvL8eLFy9w4cIFnDlzZsrYkZGRqK2thd1uR0dHB3JycjSryOHh4cjNzcWWLVtw69Yt9Pb24t69e7h27RoAICwsDIqi4Pbt2xgaGvL6RZdvxZjM0NAQ7Ha75hocHMS+ffvQ2NgIi8WC7u5unD9/Hlar9bsPWQJQn3P79u1wOByor69HaWkpAO0h2fHP4Xa70djYiDdv3qhJd2pqKqxWK9rb29Ha2oq8vDzN6nxOTg4URcG2bdvw7Nkz1NXVqWP9Y+fOnXj37h3Wr1+PlpYWPH/+HPX19di8efOU/+wQEU3g603sRET/q/r7+2XXrl0yf/588ff3F4PBIElJSVJSUiLDw8Nqu2PHjonJZBK9Xi+rV6+W6urqKQ8m9vb2ysqVK0Wv10toaKhYrdYJBypHRkZk7969YjKZRKfTidlslnPnzqn3jxw5IsHBwaIoiuTm5orIxEOZ34oxXkpKigCYcFksFhERuXHjhsTGxoq/v7/MmzdPSkpKNP3DwsLk+PHjmrrExEQ5fPiwWrbZbJKQkCA6nU6WLFkily9fFgDS1dUlIt4PrObl5YnRaBQAaqxXr15Jenq6BAQESGRkpNTV1WkOdYqIPHz4UBITE0Wn08nChQulpqZGc6hTRKS7u1uysrIkKChI9Hq9REdHy549e8Tj8Uz6noiIxlNExm2iIyIi+k1cunRJ/da4r/a9ExH9Kh7qJCKi30Z1dTUiIiIQEhKCjo4OFBYWIjs7m8k4Ef3WmJATEdFvY2BgAIcOHcLAwABMJhPWrl2L4uJiX0+LiOiXcMsKEREREZEP8SsrREREREQ+xISciIiIiMiHmJATEREREfkQE3IiIiIiIh9iQk5ERERE5ENMyImIiIiIfIgJORERERGRDzEhJyIiIiLyob8A4QQCKgNvSGEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x900 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting a map to show the resulting galactic coordinate map\n",
    "# Converting the total intensity map\n",
    "GalFITS = fits.open(GalFolder+SourceName+'_Gal.fits')\n",
    "# Unit conversion from Jy/pixel to mJy/arcsec^2\n",
    "fluxconv = 1000.0*(3600.0*GalFITS[0].header['CDELT2'])**-2.0 # Conversion factor from Jy/pixel\n",
    "IntensityGalFITS = GalFITS[0].data * fluxconv\n",
    "IntensityGalMap = fits.PrimaryHDU(data=IntensityGalFITS, header=GalFITS[0].header)\n",
    "# Magnetic field map on Herschel Column Density and Stokes I total intensity contours\n",
    "BvI_Gal = HRP.BvImap(IntensityGalMap, GalFITS, Colorbar='top', StepVec=6, ScaleVec=6)\n",
    "# Saving figure\n",
    "BvI_Gal.savefig(SourceName+'_Gal_Bmap.png',dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filename: (No file associated with this HDUList)\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  STOKES I      1 PrimaryHDU     598   (118, 118)   float64   \n",
      "  1  ERROR I       1 ImageHDU        19   (118, 118)   float64   \n",
      "  2  STOKES Q      1 ImageHDU        19   (118, 118)   float64   \n",
      "  3  ERROR Q       1 ImageHDU        19   (118, 118)   float64   \n",
      "  4  STOKES U      1 ImageHDU        19   (118, 118)   float64   \n",
      "  5  ERROR U       1 ImageHDU        19   (118, 118)   float64   \n",
      "  6  IMAGE MASK    1 ImageHDU        33   (118, 118)   float64   \n",
      "  7  PERCENT POL    1 ImageHDU        19   (118, 118)   float64   \n",
      "  8  DEBIASED PERCENT POL    1 ImageHDU        19   (118, 118)   float64   \n",
      "  9  ERROR PERCENT POL    1 ImageHDU        19   (118, 118)   float64   \n",
      " 10  POL ANGLE     1 ImageHDU        19   (118, 118)   float64   \n",
      " 11  ROTATED POL ANGLE    1 ImageHDU        19   (118, 118)   float64   \n",
      " 12  ERROR POL ANGLE    1 ImageHDU        19   (118, 118)   float64   \n",
      " 13  POL FLUX      1 ImageHDU        19   (118, 118)   float64   \n",
      " 14  ERROR POL FLUX    1 ImageHDU        19   (118, 118)   float64   \n",
      " 15  DEBIASED POL FLUX    1 ImageHDU        19   (118, 118)   float64   \n",
      " 16  MERGED DATA    1 BinTableHDU    269   13R x 66C   [1J, 1E, 1E, 1E, 1E, 1E, 1E, 1E, 1E, 1J, 1J, 1E, 1K, 1K, 1J, 1E, 1E, 1J, 1E, 1E, 1E, 1E, 1E, 1E, 1B, 1E, 1E, 1E, 1E, 1E, 1E, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1D, 1J, 1D, 1J, 1D, 1D, 1D, 1J, 1J, 1J, 2624D, 2624D, 1E, 1J, 2624D, 2624D, 2624E, 2624E, D, D, 75A]   \n",
      " 17  POL DATA      1 BinTableHDU     34   13924R x 10C   [J, J, D, D, D, D, D, D, D, D]   \n",
      "None\n"
     ]
    }
   ],
   "source": [
    "# Recalculating the polarization properties of the ICRS data products\n",
    "NewICRSFile = HRP.ICRStoICRS(filename,SourceName,ICRSFolder=ICRSFolder)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Auto-setting vmin to -1.174e+02 [aplpy.core]\n",
      "INFO: Auto-setting vmax to  1.255e+03 [aplpy.core]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: FITSFixedWarning: 'datfix' made the change 'Set MJD-OBS to 58311.389703 from DATE-OBS'. [astropy.wcs.wcs]\n",
      "WARNING: FITSFixedWarning: 'datfix' made the change 'Set MJD-OBS to 58311.389703 from DATE-OBS'. [astropy.wcs.wcs]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x900 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting a map to show the resulting galactic coordinate map\n",
    "# Converting the total intensity map\n",
    "IcrsFITS = fits.open(ICRSFolder+SourceName+'_RA.fits')\n",
    "# Unit conversion from Jy/pixel to mJy/arcsec^2\n",
    "fluxconv = 1000.0*(3600.0*IcrsFITS[0].header['CDELT2'])**-2.0 # Conversion factor from Jy/pixel\n",
    "IntensityIcrsFITS = IcrsFITS[0].data * fluxconv\n",
    "IntensityIcrsMap = fits.PrimaryHDU(data=IntensityIcrsFITS, header=IcrsFITS[0].header)\n",
    "# Magnetic field map on Herschel Column Density and Stokes I total intensity contours\n",
    "BvI_ICRS = HRP.BvImap(IntensityIcrsMap, IcrsFITS, Colorbar='top', StepVec=6, ScaleVec=6)\n",
    "# Saving figure\n",
    "BvI_ICRS.savefig(SourceName+'_RA_Bmap.png',dpi=300)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "PoLiteWIP",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
